Forecasting blood glucose values for patients can help prevent hypoglycemia and hyperglycemia events in advance. To this end, this study proposes an intelligent ensemble deep learning system to predict BG values in 15, 30, and 60 min prediction horizons based on historical BG values collected via continuous glucose monitoring devices as an endogenous factor and carbohydrate intake and insulin administration information as exogenous factors. Although there are numerous deep learning algorithms available, this study applied five algorithms, namely, recurrent neural (...) network, which is optimized for sequence data, and RNN-based algorithms, stacked LSTM, bidirectional LSTM, and gated recurrent unit). Then, a genetic algorithm was applied to the five prediction models to optimize their weights through ensemble techniques and to yield the final predicted BG values. The performance of the proposed model was compared to that of the autoregressive integrated moving average model as a baseline. The results show that the proposed model significantly outperforms the baseline in terms of the root mean square error and continuous glucose error grid analysis. For the valid 29 diabetic patients for the multivariate models, the RMSE was 11.08, 19.25, and 31.30 mg/DL for 15, 30, and 60 min PH, respectively. When the same data were applied to univariate models, the RMSE was 11.28, 19.99, and 33.13 mg/DL for 15, 30, and 60 min PH, respectively. Both the univariate and multivariate models showed a statistically significant difference compared with the baseline at a 5% statistical significance level. Instead of using a model with a single algorithm, applying a GA based on each output of a model with multiple algorithms was found to play a significant role in improving model performance. (shrink)

The principle behind anthropomorphic robots is that the appearance and behaviours enable the pre-defined social skills that people use with each other each day to be used as a means of interaction. One of the problems with this approach is that there are many attributes of such a robot which can influence a user’s behaviour, potentially causing undesirable effects. This paper aims to identify and discuss a series of the most salient behaviour influencing factors in the literature, related to a (...) number of robot attributes. A particularly novel aspect of this work is the study of robots as monitoring or data collection devices, one of several behaviour influencing factors which has received insufficient attention. As a first step towards this, the PSA matrix is produced, which visualises the relationships between system attributes and user perceptions, grounded in empirical evidence in the literature. This matrix highlights gaps in the literature, brings together a series of salient behaviour influencing factors for the first time and gives a clear view of the state of the art. (shrink)

Computer technology and related Internet of things technology have penetrated into people’s daily life and industrial production; even in competitive sports training and competition, the Internet of things technology has also been a large number of applications. Traditional intelligent wearable devices are mainly used to calculate the steps of athletes or sports enthusiasts, corresponding physical data, and corresponding body indicators. The energy consumption calculated by these indexes is rough and the corresponding error is large. Based on this, this paper will (...) design a wearable device which can accurately calculate and monitor sports energy consumption based on relevant sensors and Internet of things technology. The corresponding core algorithm is the step counting algorithm, which can accurately calculate the relationship between human motion and the corresponding energy consumption and feed back to the intelligent device. In the experiment, the wearable device designed in this paper is compared with the traditional intelligent device. The experiment shows that the wearable device proposed in this paper is more accurate in energy consumption estimation than the traditional device, and its corresponding energy consumption is relatively small. (shrink)

Automatized scalable healthcare support solutions allow real-time 24/7 health monitoring of patients, prioritizing medical treatment according to health conditions, reducing medical appointments in clinics and hospitals, and enabling easy exchange of information among healthcare professionals. With recent health safety guidelines due to the COVID-19 pandemic, protecting the elderly has become imperative. However, state-of-the-art health wearable device platforms present limitations in hardware, parameter estimation algorithms, and software architecture. This paper proposes a complete framework for health systems composed of multi-sensor (...) wearable health devices, high-resolution parameter estimation, and real-time monitoring applications. The framework is appropriate for real-time monitoring of elderly patients' health without physical contact with healthcare professionals, maintaining safety standards. The hardware includes sensors for monitoring steps, pulse oximetry, heart rate, and temperature using low-power wireless communication. In terms of parameter estimation, the embedded circuit uses high-resolution signal processing algorithms that result in an improved measure of the HR. The proposed high-resolution signal processing-based approach outperforms state-of-the-art HR estimation measurements using the photoplethysmography sensor. (shrink)

Higher-Order Perception (HOP) theories in the philosophy of mind are offered as explanations of what it is that makes a mental state a conscious state. According to HOP, a mental state is conscious just in case it is itself represented in a quasi-perceptual way by an internal monitor or scanning device. We start with one of the more popular objections to HOP and a seemingly innocuous concession to it: identifying the internal monitor with the faculty of attention. We show (...) how this concession undermines HOP. (shrink)

Type 1 diabetes (T1D) is a chronic illness that requires intensive lifelong management of blood glucose concentrations by means of external insulin administration. There have been substantial developments in the ways of measuring glucose levels, which is crucial to T1D self-management. Recently, continuous glucose monitoring (CGM) has allowed people with T1D to keep track of their blood glucose levels in near real-time. These devices have alarms that warn users about potentially dangerous blood glucose trends, which can often be shared (...) with ther people. CGM is consistently associated with improved glycemic control and reduced hypoglycemia and is currently recommended by doctors. However, due to the costs of CGM, only those who qualify for hospital provision or those who can personally afford it are able to use it, which excludes many people. In this paper, I argue that unequal access to CGM results in: (1) unjust health inequalities, (2) relational injustice, (3) injustice with regard to agency and autonomy, and (4) epistemic injustice. These considerations provide prima facie moral reasons why all people with T1D should have access to CGM technology. I discuss the specific case of CGM policy in the Netherlands, which currently only provides coverage for a small group of people with T1D, and argue that, especially with additional considerations of cost-effectiveness, the Dutch government ought to include CGM in basic health care insurance for all people with T1D. (shrink)

This debate article explores how smart technologies may create a double-edged sword for patient safety and effective therapeutic relationships. Increasing utilization of health monitoring devices by patients w...

This debate article explores how smart technologies may create a double-edged sword for patient safety and effective therapeutic relationships. Increasing utilization of health monitoring devices by patients will likely become an important aspect of self-care and preventive medicine. It may also help to enhance accurate symptom reports, diagnoses, and prompt referral to specialist care where appropriate. However, the development, marketing, and use of such technology raise significant ethical implications for therapeutic relationships and patient safety. Drawing on lessons learned from (...) other direct-to-consumer health products such as genetic testing, this article explores how smart technology can also pose regulatory challenges and encourage overutilization of healthcare services. In order for smart technology to promote safer care and effective therapeutic encounters, the technology and its utilization must be safe. This article argues for unified regulatory guidelines and better education for both healthcare providers and patients regarding the benefits and risks of these devices. (shrink)

Wearable devices are increasingly present in the health context, as tools for biomedical research and clinical care. In this context, wearables are considered key tools for a more digital, personalised, preventive medicine. At the same time, wearables have also been associated with issues and risks, such as those connected to privacy and data sharing. Yet, discussions in the literature have mostly focused on either technical or ethical considerations, framing these as largely separate areas of discussion, and the contribution of wearables (...) to the collection, development, application of biomedical knowledge has only partially been discussed. To fill in these gaps, in this article we provide an epistemic (knowledgerelated) overview of the main functions of wearable technology for health: monitoring, screening, detection, and prediction. On this basis, we identify 4 areas of concern in the application of wearables for these functions: data quality, balanced estimations, health equity, and fairness. To move the field forward in an effective and beneficial direction, we present recommendations for the 4 areas: local standards of quality, interoperability, access, and representativity. (shrink)

Diagnostic devices do more than just passively register facts. They intervene in the situations in which they are put to use. The question addressed here is what this general remark may imply in specific cases. To answer this question a specific case is being analysed: that of the blood sugar measurement device that people with diabetes may use to monitor their own blood sugar levels. This device not only allows the patients concerned to better approach normal blood sugar (...) levels, but alters what counts as normal in the first place. Using the device may shift people's attention away from their physical sensations towards the numbers measured, but it may also help them to increase their own physical self-awareness. Self-monitoring finally (something that the devices have made possible) makes patients less dependent on professionals, but it requires them to engage in self-disciplining and binds them to the outcomes of their measurement activities: their own blood sugar levels. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by Anita HoTina Nguyen (bio)Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by Anita Ho New York: Oxford University Press, 2023As the reach of artificial intelligence (AI)- and machine learning (ML)-enabled technologies continues to expand in the healthcare field, bioethicists have examined the ethical (...) issues that come as a result of using these technologies. In this ethical assessment, most bioethicists, myself included, have discussed how AI/ML violates the ethical principle of autonomy. The commonly cited definition of autonomy comes from Beauchamp and Childress's Principles of Biomedical Ethics (2019), where autonomy is the right of the individual to make decisions for themselves. However, autonomy regarding AI/ML in healthcare has not been or is rarely discussed from the feminist perspective. In Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring (further referred to as Live Like Nobody Is Watching), Anita Ho, in addition to other points, argues that AI for health monitoring needs to be examined through a relational autonomy lens. Not only is this perspective innovative but it also shows how a predominantly male field has shaped the narrative surrounding AI/ML. In this review, I provide a brief overview of the chapters, explore Ho's arguments for relational autonomy, and discuss future applications of this work.Live Like Nobody Is Watching begins with a preface where the readers are introduced to a real-life scenario. Ho describes a friend's experience of [End Page 101] debating with themself whether to use surveillance for their mother with early-stage dementia who claims someone has been moving her things. This sets up the rest of the book in which questions of should these technologies be used and in what context are they appropriate are debated using relational autonomy. The introduction serves as a brief primer to AI (ML and deep learning) and its role in healthcare followed by a layout of the subsequent chapters. Chapter 1 connects health monitoring AI with relational autonomy, where Ho suggests that the liberal view of autonomy is not appropriate for health monitoring technologies. This is due to the fact that the patient populations using these technologies are reliant, to various degrees, on social relationships. In chapters 2, 3, and 4, Ho addresses how health-monitoring AI requires relational autonomy through use cases concerning home-health monitoring, direct-to-consumer monitoring, and AI monitoring for medication adherence. Throughout these chapters, Ho discusses the claimed benefits of these AI/ML interventions and cautions about the ethical challenges, such as health inequities and testimonial injustice, that can arise with these technologies. Finally, chapter 5 serves as the conclusion, where Ho ultimately argues that health-monitoring AI should be viewed through relational autonomy instead of the traditional view, and she advocates for dialogic engagement (including bringing patients/patients' families into the conversation). The narrative goes full circle with the events in the preface being addressed in the epilogue, where the friend decided to incorporate a smart frame device that would allow them to have video calls with their mother. However, the friend is still grappling with the idea of surveillance given an incident in which another dementia resident accidentally wandered into their mother's room. To this, Ho ends the book by proposing better lighting in the hallways rather than immediately turning to the next high-tech innovation.Ho presents several arguments throughout the book but emphasizes the main argument that relational autonomy should be practiced over the traditional, liberal view of autonomy. Ho discusses the three elements of socio-relational autonomy (using Catriona Mackenzie's work): self-governance, self-determination, and self-authorization. Components of the traditional bioethical view of autonomy are seen in these three elements, with the process of informed consent being closely tied to the concept of autonomy. Under the traditional view, an autonomous individual should have decision-making capacity and be able to make a decision based on the information provided to them without coercion. In the informed consent process, patients should be provided adequate information along with... (shrink)

Prior research suggests that voluntary environmental governance mechanisms operate to enhance a firm’s environmental legitimacy as opposed to being a driver of proactive environmental performance activities. To understand how these mechanisms contribute to the firm’s environmental legitimacy, we investigate whether environmental corporate governance characteristics are associated with voluntary environmental disclosure. We examine an increasingly important attribute of a firm’s disclosure setting, namely the disclosure of greenhouse gas (GHG) information. GHG information represents proprietary non-financial information about the firm’s exposure to environmental (...) concerns and is related to the firm’s operations and future profitability. Thus, we expect governance participants would view such information as a potentially important strategic device for managing stakeholders’ demands for information concerning environmental risks. We find that the presence of an environmental committee and a Chief Sustainability Officer (CSO) is positively associated with the likelihood of GHG disclosure and that CSOs are associated with disclosure transparency. Further analysis reveals that the likelihood of disclosure is associated with committee size, number of committee meetings, expertise of committee members and CSO, and overlap between the environmental committee and audit committee. Only expertise of the environmental committee members and the CSO are associated with GHG disclosure transparency, while larger committees tend to be associated with lower transparency. Our results are particularly important to those with interests in evaluating the potential role that corporate governance mechanisms play in responding to stakeholder concerns about environmental risks. Directors and officers who are considering appointment to similar governance positions, may wish to consider what attributes would make such governance positions more influential. (shrink)

Personal Health Monitoring (PHM) uses electronic devices which monitor and record health-related data outside a hospital, usually within the home. This paper examines the ethical issues raised by PHM. Eight themes describing the ethical implications of PHM are identified through a review of 68 academic articles concerning PHM. The identified themes include privacy, autonomy, obtrusiveness and visibility, stigma and identity, medicalisation, social isolation, delivery of care, and safety and technological need. The issues around each of these are discussed. The (...) system / lifeworld perspective of Habermas is applied to develop an understanding of the role of PHMs as mediators of communication between the institutional and the domestic environment. Furthermore, links are established between the ethical issues to demonstrate that the ethics of PHM involves a complex network of ethical interactions. The paper extends the discussion of the critical effect PHMs have on the patient’s identity and concludes that a holistic understanding of the ethical issues surrounding PHMs will help both researchers and practitioners in developing effective PHM implementations. (shrink)

A recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power transformers are studied. This article presents an IoT-based approach for condition monitoring and controlling a large number of distribution transformers utilized in a power distribution network. In this article, (...) the vibration analysis method is used to carry out the research. The results show that the accuracy of the improved diagnosis algorithm is 99.01, 100, and 100% for normal, aging, and fault transformers. The system designed in this article can effectively monitor the healthy operation of power transformers in remote and real-time. The safety, stability, and reliability of transformer operation are improved. (shrink)

The definition of what constitutes minimal monitoring rests not so much on a scientific analysis of physiologic variables and their specificity, sensitivity, and predictiveness, but more on a usage pattern in a given community or country. In the United States, the minimal monitoring standards accepted in the majority of institutions and used for routine anesthesia care of patients not classified as high risk include (1) the alert anesthesiologist or nurse anesthetist observer, (2) an electrocardiogram, (3) a blood pressure (...) measuring device, and (4) an oxygen analyzer in the breathing circuit. To this basic cluster of monitors can be added a finger plethysmograph, a neuromuscular junction monitor, a temperature probe, and an esophageal/precordial stethoscope which are used in many communities. In the near future we expect to see a capnograph and a pulse oximeter added to this list, and later on the automated anesthesia record. (shrink)

This paper presents research regarding the monitoring of the brain and the adequacy of anesthesia during surgery. Particular variables are derived from EEG and ECG signals and are correlated to anesthetic gas (sevoflurane) concentration, in pediatric anesthesia. The methods used for parameter extraction are based on change detection theory and time-frequency representation. Preliminary results show that the expired anesthetic gas concentration modulates both the heart rate variability and the duration of the burst suppression. Monitors of the central nervous system (...) and autonomic nervous system activities can be expected to be based on these variables. (shrink)

Language sample analysis is an important practice for providing a culturally sensitive and accurate assessment of a child's language abilities. A child's usage of literate language devices in narrative samples has been shown to be a critical target for evaluation. While automated scoring systems have begun to appear in the field, no such system exists for conducting progress-monitoring on literate language usage within narratives. The current study aimed to develop a hard-coded scoring system called the Literate Language Use in (...) Narrative Assessment, to automatically evaluate six aspects of literate language in non-coded narrative transcripts. LLUNA was designed to individually score six literate language elements. The interrater reliability of LLUNA with an expert scorer, as well as its' reliability compared to certified undergraduate scorers was calculated using a quadratic weighted kappa. Results indicated that LLUNA met strong levels of interrater reliability with an expert scorer on all six elements. LLUNA also surpassed the reliability levels of certified, but non-expert scorers on four of the six elements and came close to matching reliability levels on the remaining two. LLUNA shows promise as means for automating the scoring of literate language in LSA and narrative samples for the purpose of assessment and progress-monitoring. (shrink)

Digital medicine is a medical treatment that combines technology with drug delivery. The promises of this combination are continuous and remote monitoring, better disease management, self-tracking, self-management of diseases, and improved treatment adherence. These devices pose ethical challenges for patients, providers, and the social practice of medicine. For patients, having both informed consent and a user agreement raises questions of understanding for autonomy and informed consent, therapeutic misconception, external influences on decision making, confidentiality and privacy, and device dependability. (...) For providers, digital medicine changes the relationship where trust can be verified, clinicians can be monitored, expectations must be managed, and new liability risks may be assumed. Other ethical questions include direct third-party monitoring of health treatment, affordability, and planning for adverse events in the case of device malfunction. This article seeks to lay out the ethical landscape for the implementation of such devices in patient care. (shrink)

The Medication Event Monitoring System (MEMS) is a relatively new device designed to overcome some of the disadvantages of traditional adherence-measuring techniques. MEMS has also been found useful in tracking adherence behaviour without the need to visit patients frequently. In this study each patient was given a pre-filled, labelled MEMS bottle and cap. Patients were monitored for 24 weeks. For patients specifically studied, there were periods when drug levels may have been low and some exhibited erratic medication-taking behaviour. (...) It is concluded that MEMS can measure adherence behaviour objectively, and so might be used to improve prescribing decisions, identify drug wastage and improve carer support. Further research is needed before the routine use of electronic medication monitoring can be recommended. (shrink)

Medical devices have been long used for odiagnostic, therapeutic or rehabilitation purposes. Currently, they can range from a low-cost portable device that is often used for personal health monitoring to high-end sophisticated equipment that can only be operated by trained professionals. Depending on the functional purposes, there are different certification or compliance markings on the device when it is sold. One common certification marking is the Conformité Européenne affixation but this has a range of certification mark numbering (...) for a variety of functional purposes. While the regulators and medical device manufacturers understand the associated significance and clinical implications, these may not be apparent to the professionals and the general public. With portable healthcare devices and mobile applications gaining popularity, better awareness of certification marking will be needed. Particularly, there are differences in the allowed functional purposes and the associated cost derivations of devices with a seemingly similar nature. A preferred approach such as an easy-to-understand notation next to any certification marking on a device can aid in differentiation without the need to digest mountainous regulatory details. (shrink)

Patient self-management of disease is increasingly supported by technologies that can monitor a wide range of behavioural and biomedical parameters. Incorporated into everyday devices such as cell phones and clothes, these technologies become integral to the psychosocial aspects of everyday life. Many technologies are likely to be marketed directly to families with ill members, and families may enlist the support of clinicians in shaping use. Current ethical frameworks are mainly conceptualised from the perspective of caregivers, researchers, developers and regulators in (...) order to ensure the ethics of their own practices. This paper focuses on families as autonomous decision-makers outside the regulated context of healthcare. We discuss some morally relevant issues facing families in their decisions to monitor the health-related behaviours of loved ones. An example – remote parental monitoring of adolescent blood glucose – is presented and discussed through the lens of two contrasting accounts of ethics; one reflecting the predominant focus on health outcomes within the health technology assessment (HTA) framework and the other that attends to the broader sociocultural contexts shaping technologies and their implications. Issues discussed include the focus of assessments, informed consent and child assent, and family co-creation of system characteristics and implications. The parents’ decisions to remotely monitor their child has relational implications that are likely to influence conflict levels and thus also health outcomes. Current efforts to better integrate outcome assessments with social and ethical assessments are particularly relevant for informed decision-making about health monitoring technologies in families. (shrink)

Mobile health devices pose novel questions at the intersection of philosophy and technology. Many such applications not only collect sensitive data, but also aim at persuading users to change their lifestyle for the better. A major concern is that persuasion is paternalistic as it intentionally aims at changing the agent’s actions, chipping away at their autonomy. This worry roots in the philosophical conviction that perhaps the most salient feature of living autonomous lives is displayed via agency as opposed to patiency—our (...) lives go well in virtue of what we do, rather than what happens to us. Being persuaded by a device telling us how to conduct our lives seemingly renders the agent passive, an inert recipient of technological commands. This agential bias, however, has led to a marginalization of patiential characteristics that are just as much part of our lives as are agential characteristics. To appreciate the inherent interlocking of acting and being acted upon, it is vital to acknowledge that agency and patiency are correlates, not mutually exclusive opposites. Furthermore, it is unclear whether an action can only count as agential so long as its causes are internal. Drawing on the extended mind and extended will framework, I argue that mHealth applications merely serve as volitional aids to the agent’s internal cognition. Autonomously set goals can be achieved more effectively via technology. To be persuaded by an mHealth device does not mainly—let alone exclusively—emphasize patiency; on the contrary, it can be an effective tool for technologically enhancing agency. (shrink)

The 2018 Varsity Medical Ethics debate convened upon the motion: “This house believes that the constant monitoring of our health does more harm than good”. This annual debate between students from the Universities of Oxford and Cambridge is now in its tenth year. This year’s debate was hosted at the Oxford Union on 8th of February 2018, with Oxford winning for the Opposition, and was the catalyst for the collation and expansion of ideas in this paper.New technological devices have (...) the potential to enhance patient autonomy, improve patient safety, simplify the management of chronic diseases, increase connectivity between patients and healthcare professionals and assist individuals to make lifestyle changes to improve their health. However, these are pitted against an encroachment of technology medicalising the individual and home, an exacerbation of health inequalities, a risk to the security of patient data, an alteration of the doctor-patient relationship dynamic and an infringement on individual self-identity. This paper will draw upon and develop these concepts, while contending arguments for and against constant health monitoring. This is not a review of medical devices and health monitoring, but a reflective development and more detailed elaboration of the main points highlighted in the 2018 Varsity Medical Ethics debate. (shrink)

The 2018 Varsity Medical Ethics debate convened upon the motion: “This house believes that the constant monitoring of our health does more harm than good”. This annual debate between students from the Universities of Oxford and Cambridge is now in its tenth year. This year’s debate was hosted at the Oxford Union on 8th of February 2018, with Oxford winning for the Opposition, and was the catalyst for the collation and expansion of ideas in this paper.New technological devices have (...) the potential to enhance patient autonomy, improve patient safety, simplify the management of chronic diseases, increase connectivity between patients and healthcare professionals and assist individuals to make lifestyle changes to improve their health. However, these are pitted against an encroachment of technology medicalising the individual and home, an exacerbation of health inequalities, a risk to the security of patient data, an alteration of the doctor-patient relationship dynamic and an infringement on individual self-identity. This paper will draw upon and develop these concepts, while contending arguments for and against constant health monitoring. This is not a review of medical devices and health monitoring, but a reflective development and more detailed elaboration of the main points highlighted in the 2018 Varsity Medical Ethics debate. (shrink)

Background: Nosocomial infections represent a serious challenge for healthcare systems worldwide. Adherence to hand hygiene plays a major role in infection prevention and control. These adherence rates can be improved through behaviour tracking innovations. This requires the systems to be widely implemented and accepted. Therefore, both a systematic analysis of the normative issues related and the evaluation of technology acceptance are equally important. Objectives: To explore and describe relevant aspects regarding the acceptance of technology and ethical implications using a tracking (...) device to measure and improve adherence to hand hygiene. Research design: A quantitative study with a descriptive design was performed. Participants and research context: A total of 75 questionnaires were collected in three hospitals in Germany. Acceptance of technology was measured with n = 60 participants and ethical assessment with n = 15 participants. Ethical considerations: Ethical approval for this study was obtained from the institutional review board. Findings: The acceptance of technologies improving hygiene in general was good. The experience with technologies in general and the acceptance of the specific technology ) was moderate. There was a significant positive correlation between the acceptance and experience of technology in general. Ethical concerns played a minor role. The need for practical support was a key topic. Discussion: Study participants accepted technologies improving hygiene; however, the specific device implemented was only moderately accepted. This creates specific opportunities in the implementation process for higher later acceptance. More practical support and an increase in experience may create opportunities for device implementation with high acceptance and low ethical concerns. Conclusion: Study results indicate a vast potential for improving the implementation process of hand hygiene technologies. Ethical concerns in this study did not seem to be a relevant barrier for successful implementation of hand hygiene technologies. (shrink)

There are many real-world applications like healthcare systems, job monitoring, well-being and personal fitness tracking, monitoring of elderly and frail people, assessment of rehabilitation and follow-up treatments, affording Fall Detection (FD) and ADL (Activity of Daily Living) identification, separately or even at a time. However, the two main drawbacks of these solutions are that most of the times, the devices deployed are obtrusive (devices worn on not quite common parts of the body like neck, waist and ankle) and (...) the poor battery life. Thus, this work proposes a low-power classification algorithm based on an Ensemble of KNN and K-Means algorithms (EKMeans) to identify Falls and High-Intensity ADL events such as running, jogging and climbing up stairs. The input of EKMeans are triaxial accelerometer data gathered from wrist-wearable devices. The proposal will be validated on the Fall&ADL publicly available datasets UMAFall, UCIFall and FallAllD, considering two kinds of activity labelling: Two-Class and Multi-Class. An exhaustive comparative study between our proposal, and the baseline algorithms KNN and a feed-forward Neural Network (NN) is deployed, where EKMeans outperformed clearly the Specificity (ADL classification) of the KNN and NN for the three datasets. Finally, a comparative battery consumption study has been included deploying the analyzed algorithms in a WearOS smartwatch, where EKMeans drains the battery from 100% to 0% in 27.45 hours, saving 5% and 21% concerning KNN and NN, respectively. Keywords: Human Activity Recognition, ADL Identification, Fall Detection TS Clustering, TS Classification, Wearable Devices, Low-Power HAR. (shrink)

The Internet of Things is an emerging information industry. Applying the information collection, transmission, and processing technologies in the Internet of Things technology to environmental monitoring, environmental emergency, and other environmental protection supervision fields will greatly improve the speed and accuracy of environmental supervision and facilitate the scientific development of environmental protection. Through the Internet of Things, people can obtain a large amount of reliable real-time information, and it is not easy to be affected by time, place, and environment, (...) while the wireless sensor network has the advantages of easy installation and low cost, so environmental monitoring through the Internet of Things is the future development trend. In this paper, in view of the current situation of water scarcity and serious water pollution in China, combined with the development trend and advantages of the Internet of Things, and based on the inadequacy of the existing microbial sensor data collection equipment, we propose a design scheme of microbial concentration monitoring system for waters based on IoT. The system is based on Zig Bee wireless sensor network to build a common data acquisition platform and design special hardware to carry out high-precision microbial sensor data acquisition in water and through the PC to complete the real-time measurement data storage, waveform display, and data processing. In this paper, the schematic diagram and PCB board design of the system hardware module NUC120 main control board, CC2530 RF board, Wi-Fi wireless communication module, and high-precision ADC acquisition module are completed and fabricated. Then, the four modules are combined to realize the development of the data aggregation node and data acquisition node of the dedicated Zig Bee wireless network hardware device. (shrink)

In an increasingly technology-textured environment, smart, intelligent and responsive technology has moved onto the body of many individuals. Mobile phones, smart watches and wearable activity trackers are just some of the technologies that are guiding, nudging, monitoring and reminding individuals in their day-to-day lives. These devices are designed to enhance and support their human users, however, there is a lack of attention to the unintended consequences, the technology non-neutrality and the darker sides of becoming human-tech hybrids. Using the extended (...) mind theory and agential intra-action, we aim at exploring how human-technology hybrids gain collective skills and how these are put to use; how agency is expressed and how this affects the interactions; and what the darker sides are of being a human-technology hybrid. Using a qualitative method, we analyze the experiences of using a wearable activity tracker, with a specific focus on how the tracker and the individual solve tasks, share competences, develop new skills and negotiate for agency and autonomy. We contribute with new insight on human-tech hybridity and present a concept referred to as the agency pendulum, reflecting the dynamism of agency. Finally, we demonstrate how the extended mind theory and agential intra-action as a combined theoretical lens can be used to explore human-tech hybridity. (shrink)

Purpose Advances in electronic performance monitoring have raised employees’ concerns regarding the invasion of privacy and erosion of trust. On the other hand, EPM promises to improve performance and processes. This paper aims to focus on how the alignment of EPM design and organizational culture through effective organizational mechanisms can address privacy concerns, and, hence, positively affect employees’ perception toward technology. Design/methodology/approach Based on a theoretical lens extending two conceptual frameworks, a qualitative approach was used to analyze interview data (...) collected from a comparative case study of two organizations in the USA and Qatar within the oil and gas sector. These two contexts were selected to emphasize the cross-cultural and organizational differences in employees’ acceptance of EPM. Findings The study revealed that national and corporate cultures affected employees’ perception and acceptance of monitoring in both countries. Because of diversity, though EPM was better accepted in Qatar, as they are an easy way to enforce standardization and to push employees to adapt to a dominating corporate culture. Conversely, in the USA where culture is more innovation-oriented, organizational mechanisms shifted the perceptions of EPM to being mean to obtain feedback rather than to impose standards. Research limitations/implications This qualitative study is based on a descriptive comparative case study of two organizations with two cultural contexts. The limited sample size and cross-sectional nature of data may need to be extended to a larger cultural scope that is observed over a longer period to safely generalize the findings. Practical implications Decision-makers in multinational corporations with different cultural backgrounds may benefit of this study’s outcomes, as it emphasizes the importance of the fit between EPM designs and the cultural settings. Furthermore, organizations aiming to conduct analytics on EPM data have to justify and prove its benefits to employees to facilitate acceptance. Social implications The study shows that employees in Qatar have a different cultural frame of reference in their perception of fairness and ethics than their counterparts in the USA because of changes in the meaning of social relations, personal goals and behavioral norms. Originality/value The originality of this study lays in its empirical validation of a composite framework examining both national and corporate cultures on employees’ reactions to EPM systems. It also proves the critical importance of organizational mechanisms to align the EPM design with the organization cultural settings. (shrink)

The article focuses on exploring the directions for implementing innovative analytical-statistical technologies as a tool for monitoring and detecting corruption in the state. To achieve this goal, the author clarifies the content of key concepts, defines the essence of innovative analytical-statistical technologies, and analyzes the applications of these technologies as elements of the state’s anti-corruption policy. It is determined that modern analytical-statistical technologies are integral to information technologies, which have emerged as a separate branch of production known as the (...) information industry. Information technologies, including analytical-statistical ones, are realized through information systems, which combine technical tools (computers, communication devices and channels, peripherals, input/output devices, etc.) with software applications that facilitate the functioning of the technical components and analytical aspects, including the mathematical component (statistics). The use of analytical-statistical technologies as a tool to counter corruption at the state level is driven by the specificity of the corruption identification process. The application of relevant technologies is possible when perceiving corruption as a form of fraud. Therefore, the search for corruption in modern society requires a comprehensive approach, utilizing mathematical, analytical, and psychophysical research methods. This approach enables not only the identification but also the prediction of probable instances of abuse. Five directions for implementing innovative analytical-statistical technologies in anti-corruption activities are identified: 1) automation of data collection and processing; 2) automation of communication and office processes; 3) automation of direct management processes; 4) automation of decision-making processes and development; 5) development of expert systems. It is noted that analytical-statistical technologies find the most implementation in four of the identified directions: data collection/processing, direct management, decision support, and expert support. (shrink)

BackgroundSolitary death (kodokushi) has recently become recognized as a social issue in Japan. The social isolation of older people leads to death without dignity. With the outbreak of COVID-19, efforts to eliminate solitary death need to be adjusted in line with changes in lifestyle and accompanying changes in social structure. Health monitoring services that utilize wearable devices may contribute to this end. Our goals are to outline how wearable devices might be used to (1) detect emergency situations involving solitary (...) older people and swiftly connect them with medical treatment, to (2) reduce the frequency of deaths that remain undiscovered and (3) to reduce social isolation by promoting social interaction. MethodsTheoretical and philosophical approaches were adopted to examine ethical issues surrounding the application of wearable devices and cloud-based information processing systems to prevent solitary death in the world with/after COVID-19.Main body(1) Technology cannot replace social connections; without social support necessary to foster understanding of the benefits of health management through wearable devices among older adults, such devices may remain unused, or not used properly. (2) Maturity of the technology; systems face the difficult task of detecting and responding to a wide range of health conditions and life-threatening events in time to avert avoidable morbidity and mortality. (3) Autonomy and personhood; promoting the voluntary use of wearable devices that are a part of larger efforts to connect isolated individuals to a community or social services might be effective. Legal force should be avoided if possible. There is some concern that landlords may require an older person to sign a contract agreeing to wear a device. The autonomy of solitary older people should be respected. (4) Governance: policies must be developed to limit access to data from wearables and the purposes for which data can be used.ConclusionIf thoughtfully deployed under proper policy constraints, wearable devices offer a way to connect solitary older people to health services and could reduce cases of solitary death while respecting the personhood of the user. (shrink)

This study focuses on the devices implemented in classical Indian texts on ritual and language in order to develop a structure of rules in an economic and systematic way. These devices presuppose a spatial approach to ritual and language, one which deals for instance with absences as substitutions within a pre-existing grid, and not as temporal disappearances. In this way, the study reveals a key feature of some among the most influential schools of Indian thought. The sources are Kalpasūtra, Vyākaraṇa (...) and Mīmāṃsā, three textual traditions which developed alongside each other, sharing - as the volume shows - common presuppositions and methodologies. The book will be of interest for Sanskritists, scholars of ritual exegesis and of the history of linguistics. - Cover. (shrink)

Mainstream thought on environmental justice emphasizes disparities between populations in terms of their exposure to environmental risks. Climate change has recently shifted attention from vulnerability to responsibility, with much of the research and dissemination of results accentuating differential contributions on the part of various groups to CO2 emissions and their accumulation in the atmosphere. But efforts to monitor, mitigate and adapt to climate change are largely premised on sovereign states as the main units of analysis, and on comparisons between them (...) as the primary tool for designing policy. This approach, which reifies climate change as a technical, distant and detached issue, arrests the long overdue politicization of the atmosphere. This Article, which uses data from Israel on differentiated levels of CO2 emissions by income decile, suggests that hitherto overlooked in-country disparities in CO2 emissions are an integral part of the problem and of potential ways to tackle it. Offering a critique of attempts to use distributive justice as a basis for a global climate pact, it calls for further in-country analysis of emissions and a better understanding of how the outcomes of those attempts might become relevant to more people globally. Such insights, it argues, are essential for climate policies to become politicized and thus gain prominence and urgency in political debates, campaigns, and eventually on the executive agenda of all levels of government. (shrink)

Over the years, AI has undergone a transformation from its original aim of producing an ‘intelligent’ machine to that of producing pragmatic solutions of problems of the market place. In doing so, AI has made a significant contribution to the debate on whether the computer is an instrument or an interlocutor. This paper discusses issues of problem solving and creativity underlying this transformation, and attempts to clarify the distinction between theresolutive intelligence andproblematic intelligence. It points out that the advance of (...) ‘intelligent’ technology, with its failure to make a clear distinction betweenresolutive andcreative intelligence, could contribute to the further cultural marginalisation of human activities not connected with production. A further danger is that AI products may suffer a further loss of social reputation and prestige for those activities for which it is not possible to build artificial devices. (shrink)

This study of the workings of neural networks in perception and understanding of situations and simple sentences shows that, and how, distributed conceptual constituents are bound together in episodes within an interactive/dynamic architecture of sensorial and pre-motor maps, and maps of conceptual indicators (semantic memory) and individuating indicators (historical, episodic memory). Activation circuits between these maps make sensorial and pre-motor fields in the brain function as episodic maps creating representations, which are expressions in consciousness. It is argued that all consciousness (...) is episodic, consisting of situational or linguistic representations, and that the mind is the whole of all conscious manifestations of the brain. Thought occurs only in the form of linguistic or image representations. The book also discusses the role of consciousness in the relationship between causal and denotational semantics, and its role for the possibility of representations and rules. Four recent controversies in consciousness research are discussed and decided along this model of consciousness: • Is consciousness an internal or external monitoring device of brain states? • Do all conscious states involve thought and judgement? • Are there different kinds of consciousness? • Do we have a one-on-one correspondence between certain brain states and conscious states. The book discusses also the role of consciousness in the relationship between causal and denotational semantics, and its role for the possibility of representations and rules. (Series A). (shrink)

This Article presents an innovative institutional strategy for global climate protection, quite distinct from, but ultimately complementary to and supportive of the currently stalled UNFCCC climate treaty negotiations. The bottom-up strategy relies on a variety of smallerscale transnational cooperative arrangements, involving not only states but sub-national jurisdictions, firms, and CSOs, to undertake activities whose primary goal is not climate mitigation but which will achieve greenhouse gas reductions as an inherent byproduct. This strategy avoids the inherent problems in securing an enforceable (...) treaty to secure the global public good of climate protection by mobilizing other incentives - including economic self-interest, energy security, cleaner air, and furtherance of international development - to motivate such actors to cooperate on actions that will also benefit the climate. These bottom-up regimes will contribute to global climate action not only by achieving emissions reductions in the short-term, but also by linking the bottom-up regimes to the UNFCCC system through greenhouse gas monitoring and reporting systems. In these ways, the bottom-up strategy will help secure eventual agreement on a global climate treaty. (shrink)

Brain–Computer Interface (BCI) technology is a promising research area in many domains. Brain activity can be interpreted through both invasive and non-invasive monitoring devices, allowing for novel, therapeutic solutions for individuals with disabilities and for other non-medical applications. However, a number of ethical issues have been identified from the use of BCI technology. In this paper, we review the academic discussion of the ethical implications of BCI technology in the last five years. We conclude that some emerging applications of (...) BCI technology—including commercial ventures that seek to meld human intelligence with AI—present new and unique ethical concerns. Further, we seek to understand how academic literature on the topic of BCIs addresses these novel concerns. Similar to prior work, we use a limited sample to identify trends and areas of concern or debate among researchers and ethicists. From our analysis, we identify two key areas of BCI ethics that warrant further research: the physical and psychological effects of BCI technology. Additionally, questions of BCI policy have not yet become a frequent point of discussion in the relevant literature on BCI ethics, and we argue this should be addressed in future work. We provide guiding questions that will help ethicists and policy makers grapple with the most important issues associated with BCI technology. (shrink)

Digital Pills are an innovative drug-device technology that permits to combine traditional medications with a monitoring system that automatically records data about medication adherence as well as patients’ physiological data. Although DP are a promising innovation in the field of digital medicine, their use has also raised a number of ethical concerns. These ethical concerns, however, have been expressed principally from a theoretical perspective, whereas an ethical analysis with a more empirically oriented approach is lacking. There is also (...) a lack of clarity about the empirical evidence available concerning the application of this innovative digital medicine. To map the studies where DP have been tested on patients and discuss the ethically relevant issues evident therein, we performed a scoping review of the empirical literature concerning DP. Our search allowed us to identify 18 papers reporting on studies where DP were tested on patients. These included studies with different designs and involving patients with a variety of conditions. In the empirical literature, a number of issues with ethical relevance were evident. At the patient level, the ethical issues include users’ interaction with DP, personal sphere, health-related risks and patients’ benefits. At the provider level, ethically relevant issues touch upon the doctor-patient relationship and the question of data access. At the societal level, they concern the benefits to society, the quality of evidence and the dichotomy device-medicine. We conclude that evidence concerning DP is not robust and that more research should be performed and study results made available to evaluate this digital medicine. Moreover, our analysis of the ethically relevant aspects within empirical literature underscores that there are concrete and specific open questions that should be tackled in the ethical discussion about this new technological solution. (shrink)

Arrhythmias are irregular heartbeats that may be life-threatening. Proper monitoring and the right care at the right time are necessary to keep the heart healthy. Monitoring electrocardiogram patterns on continuous monitoring devices is time-consuming. An intense manual inspection by caregivers is not an option. In addition, such an inspection could result in errors and inter-variability. This article proposes an automated ECG beat classification method based on deep neural networks to aid in the detection of cardiac arrhythmias. The (...) data collected by an Internet of Things enabled ECG monitoring device are transferred to a server. They are analysed by a deep learning model, and the results are shared with the primary caregiver. The proposed model is trained using the MIT-BIH ECG arrhythmia database to classify into four classes: normal beat, left bundle branch block beat, right bundle branch block beat, and premature ventricular contraction. The received data are sampled with an overlapping sliding window and divided into an 80:20 ratio for training and testing, with tenfold cross-validation. The proposed method achieves higher accuracy with a simple model without any preprocessing when compared with previous works. For the train and test sets, we achieved accuracy rates of 99.09 and 99.03%, respectively. A precision, recall, and F1 scores of 0.99 is obtained. The proposed model achieves its goal of developing a simple and accurate ECG monitoring system with improved performance. This simple and efficient deep learning approach for heartbeat classification could be applied in real-time telehealth monitoring systems. (shrink)

Exploring the locality stereotype with respect to CEO’s trustworthiness, we find that firms whose CEOs are from more reputable hometowns have a higher likelihood of stock price crashes, indicating the presence of a CEO “Trust Exploitation” effect, i.e. a high-trust identity does not guarantee managerial ethics; to the contrary, it could tempt CEOs to abuse outsiders’ trust, camouflage their misconducts and conceal adverse information more severely. The effect of CEO’s perceived trustworthiness on tail risk of stock price remains robust when (...) controlling for the region-level trust of firm’s headquarters, and in 2SLS regression with an instrumental variable. Further, CEO’s “Trust Exploitation” effect is more prominent among firms with lower disclosure quality, higher capital market pressure and higher CEO incentives. Our findings highlight an unexplored imperfection of individual-level trustworthiness as a reliable substitute for formal monitoring devices in terms of improving stock market stability. (shrink)

This article examines how sex differentiation is invoked from body fat with a focus on how various monitoring devices participate in the construction of bodies. By using the concept of ‘local biologies’, denoting the linkage of the body to place with its local physical and social conditions, it argues against the ‘one-size-fits-all’ paradigm of modern medicine and critiques the mechanistic search for regularity in medical research. By looking at medical literature on obesity and how contemporary obesity researchers and clinicians (...) link body fat to sex, local biologies of bodies in a Swedish obesity clinic are contrasted to the universal biologies represented in medical research. The article also provides empirical examples of how fat has the potential to undermine traditional sex and gender binaries. (shrink)

An aging population is often taken to require a profound reorganization of the prevailing health care system. In particular, a more cost-effective care system is warranted and ICT-based home care is often considered a promising alternative. Modern health care devices admit a transfer of patients with rather complex care needs from institutions to the home care setting. With care recipients set up with health monitoring technologies at home, spouses and children are likely to become involved in the caring process (...) and informal caregivers may have to assist kin-persons with advanced care needs by means of sophisticated technology. This paper investigates some of the ethical implications of a near-future shift from institutional care to technology-assisted home care and the subsequent impact on the care recipient and formal- and informal care providers. (shrink)

PurposeThis paper aims to (a) summarize the legal and ethical foundations of privacy with connections to workplace emails and text messages, (b) describe trends and challenges related to “Bring Your Own Device” (BYOD), and (c) propose legal and nonlegal questions these trends will raise in the foreseeable future.Design/methodology/approachBased on a review of legal cases and scholarship related to workplace privacy, implications for BYOD practices are proposed.FindingsPrimarily due to property rights, employers in the USA have heretofore been granted wide latitude (...) in monitoring employee communications. The BYOD trend has the potential to challenge this status quo.Originality valueBYOD programs present discernable threats to employee privacy. Attention is also directed toward contributing elements such as wearable technology, cloud computing and company cultures. (shrink)

In this article, our concern is to describe how body(ies) and self are performed in women’s birth narratives through the mediation of a number of significant elements, including technical devices. We will show how, in these narratives, (1) action is distributed among a series of actants, including professionals and technology; (2) that dichotomies appear which cannot be reduced to one of body/mind, but are more adequately described in terms of ‘body-in-labour’/’embodied self’, each of them being locally performed through the mediation (...) of medical practices, knowledge and technologies, the definition of these elements and of their relations being specific to each obstetrical configuration; (3) that part of professionals’ activities is devoted to the detailed management of the articulation between the body-in-labour and the embodied self, and to monitoring their joint transformations. (shrink)

Biometric technologies are becoming more pervasive in the workplace, augmenting managerial processes such as hiring, monitoring and terminating employees. Until recently, these devices consisted mainly of GPS tools that track location, software that scrutinizes browser activity and keyboard strokes, and heat/motion sensors that monitor workstation presence. Today, however, a new generation of biometric devices has emerged that can sense, read, monitor and evaluate the affective state of a worker. More popularly known by its commercial moniker, Emotional AI, the technology (...) stems from advancements in affective computing. But whereas previous generations of biometric monitoring targeted the exterior physical body of the worker, concurrent with the writings of Foucault and Hardt, we argue that emotion-recognition tools signal a far more invasive disciplinary gaze that exposes and makes vulnerable the inner regions of the worker-self. Our paper explores attitudes towards empathic surveillance by analyzing a survey of 1015 responses of future job-seekers from 48 countries with Bayesian statistics. Our findings reveal affect tools, left unregulated in the workplace, may lead to heightened stress and anxiety among disadvantaged ethnicities, gender and income class. We also discuss a stark cross-cultural discrepancy whereby East Asians, compared to Western subjects, are more likely to profess a trusting attitude toward EAI-enabled automated management. While this emerging technology is driven by neoliberal incentives to optimize the worksite and increase productivity, ultimately, empathic surveillance may create more problems in terms of algorithmic bias, opaque decisionism, and the erosion of employment relations. Thus, this paper nuances and extends emerging literature on emotion-sensing technologies in the workplace, particularly through its highly original cross-cultural study. (shrink)