The authors are grateful to all the participants and their families, as well as to the teaching and administrative personnel of the participating primary schools in Cyprus and Greece. The study was financed by the European Union LIFE Project MEDEA (LIFE16 CCA/CY/000041).

<ol>
	<li>Alami, H., Gagnon, M. P., Fortin, J. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Digital+health+and+the+challenge+of+health+systems+transformation.">Digital health and the challenge of health systems transformation.</a> mHealth. 3, 31 (2017).</li><li>Dunn, J., Runge, R., Snyder, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Wearables+and+the+medical+revolution.">Wearables and the medical revolution.</a> Personalized Medicine. 15 (5), 429-448 (2018).</li><li>Bietz, M. J., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Opportunities+and+challenges+in+the+use+of+personal+health+data+for+health+research.">Opportunities and challenges in the use of personal health data for health research.</a> Journal of the American Medical Informatics Association. 23, 42-48 (2016).</li><li>Coughlin, S. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Recall+bias+in+epidemiologic+studies.">Recall bias in epidemiologic studies.</a> Journal of Clinical Epidemiology. 43 (1), 87-91 (1990).</li><li>Munos, B., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Mobile+health:+The+power+of+wearables,+sensors,+and+apps+to+transform+clinical+trials.">Mobile health: The power of wearables, sensors, and apps to transform clinical trials.</a> Annals of the New York Academy of Sciences. 1375 (1), 3-18 (2016).</li><li>Reeder, B., David, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Health+at+hand:+A+systematic+review+of+smart+watch+uses+for+health+and+wellness.">Health at hand: A systematic review of smart watch uses for health and wellness.</a> Journal of Biomedical Informatics. 63, 269-276 (2016).</li><li>Trifan, A., Oliveira, M., Oliveira, J. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Passive+sensing+of+health+outcomes+through+smartphones:+Systematic+review+of+current+solutions+and+possible+limitations.">Passive sensing of health outcomes through smartphones: Systematic review of current solutions and possible limitations.</a> JMIR mHealth and uHealth. 7 (8), 12649 (2019).</li><li>Rodgers, M. M., Alon, G., Pai, V. M., Conroy, R. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Wearable+technologies+for+active+living+and+rehabilitation:+current+research+challenges+and+future+opportunities.">Wearable technologies for active living and rehabilitation: current research challenges and future opportunities.</a> Journal of Rehabilitation and Assistive Technologies Engineering. 6, 2055668319839607 (2019).</li><li>Huberty, J., Ehlers, D. K., Kurka, J., Ainsworth, B., Buman, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Feasibility+of+three+wearable+sensors+for+24+hour+monitoring+in+middle-aged+women.">Feasibility of three wearable sensors for 24 hour monitoring in middle-aged women.</a> BMC Women's Health. 15, 55 (2015).</li><li>Schall, M. C., Sesek, R. F., Cavuoto, L. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Barriers+to+the+adoption+of+wearable+sensors+in+the+workplace:+A+survey+of+occupational+safety+and+health+professionals.">Barriers to the adoption of wearable sensors in the workplace: A survey of occupational safety and health professionals.</a> Human Factors. 60 (3), 351-362 (2018).</li><li>Henriksen, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Using+fitness+trackers+and+smartwatches+to+measure+physical+activity+in+research:+Analysis+of+consumer+wrist-worn+wearables.">Using fitness trackers and smartwatches to measure physical activity in research: Analysis of consumer wrist-worn wearables.</a> Journal of Medical Internet Research. 20 (3), 9157 (2018).</li><li>Kouis, P., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+MEDEA+childhood+asthma+study+design+for+mitigation+of+desert+dust+health+effects:+Implementation+of+novel+methods+for+assessment+of+air+pollution+exposure+and+lessons+learned.">The MEDEA childhood asthma study design for mitigation of desert dust health effects: Implementation of novel methods for assessment of air pollution exposure and lessons learned.</a> BMC Pediatrics. 21, 13 (2021).</li><li>Kouis, P., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Use+of+wearable+sensors+to+assess+compliance+of+asthmatic+children+in+response+to+lockdown+measures+for+the+COVID-19+epidemic.">Use of wearable sensors to assess compliance of asthmatic children in response to lockdown measures for the COVID-19 epidemic.</a> Scientific Reports. 11, 5895 (2021).</li><li>Arigo, D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+history+and+future+of+digital+health+in+the+field+of+behavioral+medicine.">The history and future of digital health in the field of behavioral medicine.</a> Journal of Behavioral Medicine. 42 (1), 67-83 (2019).</li><li>Fuller, D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Reliability+and+validity+of+commercially+available+wearable+devices+for+measuring+steps,+energy+expenditure,+and+heart+rate:+Systematic+review.">Reliability and validity of commercially available wearable devices for measuring steps, energy expenditure, and heart rate: Systematic review.</a> JMIR mHealth and uHealth. 8 (9), 18694 (2020).</li><li>Majumder, S., Mondal, T., Deen, M. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Wearable+sensors+for+remote+health+monitoring.">Wearable sensors for remote health monitoring.</a> Sensors. 17 (1), 130 (2017).</li><li>Beukenhorst, A. L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Engagement+and+participant+experiences+with+consumer+smartwatches+for+health+research:+Longitudinal,+observational+feasibility+study.">Engagement and participant experiences with consumer smartwatches for health research: Longitudinal, observational feasibility study.</a> JMIR mHealth and uHealth. 8 (1), 14368 (2020).</li><li>Galarnyk, M., Quer, G., McLaughlin, K., Ariniello, L., Steinhubl, S. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Usability+of+a+wrist-worn+smartwatch+in+a+direct-to-participant+randomized+pragmatic+clinical+trial.">Usability of a wrist-worn smartwatch in a direct-to-participant randomized pragmatic clinical trial.</a> Digital Biomarkers. 3 (3), 176-184 (2019).</li><li>de Lima, A. L. S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Large-scale+wearable+sensor+deployment+in+Parkinson's+patients:+The+Parkinson@+home+study+protocol.">Large-scale wearable sensor deployment in Parkinson's patients: The Parkinson@ home study protocol.</a> JMIR Research Protocols. 5 (3), 5990 (2016).</li><li>Steinle, S., Reis, S., Sabel, C. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Quantifying+human+exposure+to+air+pollution-Moving+from+static+monitoring+to+spatio-temporally+resolved+personal+exposure+assessment.">Quantifying human exposure to air pollution-Moving from static monitoring to spatio-temporally resolved personal exposure assessment.</a> Science of the Total Environment. 443, 184-193 (2013).</li><li>Dias, D., Tchepel, O. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Modelling+of+human+exposure+to+air+pollution+in+the+urban+environment:+a+GPS-based+approach.">Modelling of human exposure to air pollution in the urban environment: a GPS-based approach.</a> Environmental Science and Pollution Research. 21 (5), 3558-3571 (2014).</li><li>Chen, W., Kao, K., Chang, Y., Chang, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+RSSI-based+distributed+real-time+indoor+positioning+framework.">An RSSI-based distributed real-time indoor positioning framework.</a> 2018 IEEE International Conference on Applied System Invention (ICASI). , 1288-1291 (2018).</li><li>Nagah Amr, M., El Attar, H. M., Abd El Azeem, M. H., El Badawy, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+enhanced+indoor+positioning+technique+based+on+a+novel+received+signal+strength+indicator+distance+prediction+and+correction+model.">An enhanced indoor positioning technique based on a novel received signal strength indicator distance prediction and correction model.</a> Sensors. 21 (3), 719 (2021).</li><li>Lancioni, G. E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=An+upgraded+smartphone-based+program+for+leisure+and+communication+of+people+with+intellectual+and+other+disabilities.">An upgraded smartphone-based program for leisure and communication of people with intellectual and other disabilities.</a> Frontiers in Public Health. 6, 234 (2018).</li><li>Lancioni, G. E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=People+with+intellectual+and+visual+disabilities+manage+functional+occupation+via+basic+technology+providing+spatial+cues+and+timely+repetition+of+response-related+instructions.">People with intellectual and visual disabilities manage functional occupation via basic technology providing spatial cues and timely repetition of response-related instructions.</a> Advances in Neurodevelopmental Disorders. 6 (1), 11-19 (2022).</li><li>Rao, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=IoT+enabled+wearable+device+for+COVID+safety+and+emergencies.">IoT enabled wearable device for COVID safety and emergencies.</a> International Journal of Interactive Mobile Technologies. 3 (3), 146-154 (2021).</li><li>Brunschwiler, T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Internet+of+the+body-Wearable+monitoring+and+coaching.">Internet of the body-Wearable monitoring and coaching.</a> 2019 Global IoT Summit (GIoTS). , 1-6 (2019).</li></ol>

The authors have no conflicts of interest to declare.

Wearable sensors are useful tools that allow the continuous and non-invasive monitoring of health parameters and patient behavior. Commercial smartwatches, which are equipped with a variety of sensors, provide a promising alternative to traditional data collection methods, and their use in clinical and public health research is only expected to rise as a result of increased variety and quality of built-in sensors, stronger academic-industry partnerships, and reductions in retail prices14. In this ...

Digital health technology applications and wearable sensors enable non-invasive and cost-effective patient monitoring both in healthcare and home settings1. At the same time, the large amount of data collected and the availability of wearable-based analytic platforms enable the development of algorithms for automated health event prediction, prevention, and intervention for a wide range of acute and chronic diseases2. Commercially available wearable sensors, primarily used for fitness tracking, are also increasingly being used by medical professionals in public health research and represent a promising tool for multimodal and continuous data collection under real-life conditions3. More importantly, though, unbiased data collection from wearables sensors allows researchers to overcome the challenges of recall bias that characterize traditional data collection methods such as interviews and diaries4.
However, for the purposes of clinical trials or other population studies, data accuracy, reliability, and integrity are essential. In addition, the credibility of the collected data may also be affected by several other parameters, such as age-group applicability as well as the memory capacity and energy efficiency of the device5. Recent systematic reviews of laboratory and field-based studies with limited numbers of participants have generally confirmed the applicability of commercial smartwatches for activity, heart rate, seizure, and behavior monitoring, although the reviews have also demonstrated poor suitability for elderly users, as well as battery, memory, and data quality limitations6,7. These limitations may be further amplified in larger population studies under real-life conditions where additional parameters such as inconsistent internet connectivity, device comfort, and incorrect smartwatch use come into play8. Specifically, appearance and inconvenience are significant barriers to wearing sensors daily9, while concerns relating to privacy and confidentiality issues may affect recruitment in studies involving wearable sensors10. Concerning the applicability of commercial smartwatches and fitness trackers for measuring physical activity in research studies, a recent study by Henriksen et al. suggested that the selection of an appropriate device for a particular study should not only be based on the available embedded sensors but rather also take into account validation and previous use in research, appearance, battery life, robustness, water resistance, connectivity, and usability11.
For the purposes of this study, we present a protocol to improve on the challenges encountered during the LIFE MEDEA project, an intervention study for the mitigation of the health effects of desert dust storms12. The study involved two distinct population groups: asthmatic children aged 6-11 years and elderly patients with atrial fibrillation (AF). Both groups were equipped with a commercial smartwatch for the assessment of physical activity (using a heart rate monitor, pedometer, and accelerometer) and location (using GPS signals to locate individuals in indoor &#34;at home&#34; or outdoor microenvironments). The participants were required to wear the smartwatch daily, and data were transmitted via a wireless network to a centrally administered data collection platform via the data collection application for the near real-time assessment of compliance. Additional details on the smartwatch and system setup are provided in a previous study13. During the first year of the project implementation, several technical and real-life challenges relating to the device emerged, which affected recruitment, the compliance of participants in wearing the device daily, and the completeness of the collected data. Some challenges were population-specific, such as the requirement of school administrators and many parents that the children wearing the smartwatches should not have access to standard smartwatch features, such as gaming, internet browser, camera, and audio-recording applications. Other challenges were technical in nature, such as loss of GPS signal, especially in indoor environments, and internal smartwatch settings interfering with the data collection application. A detailed overview of the main challenges identified as well as a brief description of their implications and solutions are presented in Table 1.
In this study, we suggest simple, cost-effective, and off-the-shelf solutions to improve user compliance, data quality, and data completeness in population studies employing wearable sensors and provide the relevant protocols. In addition, we demonstrate the data completeness improvements from the implementation of such protocols using representative results from the study13.

<table><tbody><tr><td>APK Extractor</td><td>Meher</td><td>Version 4.21.08</td><td>Application</td></tr><tr><td>Charger/Adaptor with data cable</td><td>Jiangsu Chenyang Electron Co. Ltd</td><td>C-P17</td><td>Charger</td></tr><tr><td>Embrace application</td><td>EmbraceTech LTD</td><td>Version 1.5.4</td><td>Application</td></tr><tr><td>LEMFO LF25 Smartwatch</td><td>Shenzhen domino Times Technology Co. Ltd</td><td>DM368 Plus</td><td>Smartwatch</td></tr><tr><td>Lock App - Smart App Locker</td><td>ANUJ TENANI</td><td>Version 4.0</td><td>Application</td></tr><tr><td>Macrodroid-Device Automation</td><td>ArloSoft</td><td>Version 5.5.2</td><td>Application</td></tr><tr><td>Xiaomi Redmi 6A</td><td>Xiaomi</td><td>M1804C3CG</td><td>Smartphone</td></tr></tbody></table>

setup of consumer wearable devices for exposure and health monitoring in population studies

Wearable sensors, which are often embedded in commercial smartwatches, allow for continuous and non-invasive health measurements and exposure assessments in clinical studies. Nevertheless, the real-life application of these technologies in studies involving a large number of participants for a significant observation period may be hindered by several practical challenges. 
In this study, we present a modified protocol from a previous intervention study for the mitigation of health effects from desert dust storms. The study involved two distinct population groups: asthmatic children aged 6-11 years and elderly patients with atrial fibrillation (AF). Both groups were equipped with a smartwatch for the assessment of physical activity (using a heart rate monitor, pedometer, and accelerometer) and location (using GPS signals to locate individuals in indoor "at home" or outdoor microenvironments). The participants were required to wear the smartwatch equipped with a data collection application on a daily basis, and data were transmitted via a wireless network to a centrally administered data collection platform for the near real-time assessment of compliance. 
Over a period of 26 months, more than 250 children and 50 patients with AF participated in the aforementioned study. The main technical challenges identified included restricting access to standard smartwatch features, such as gaming, internet browser, camera, and audio recording applications, technical issues, such as loss of GPS signal, especially in indoor environments, and the internal smartwatch settings interfering with the data collection application.
The aim of this protocol is to demonstrate how the use of publicly available application lockers and device automation applications made it possible to address most of these challenges in a simple and cost-effective way. In addition, the inclusion of a Wi-Fi received signal strength indicator significantly improved indoor localization and largely minimized GPS signal misclassification. The implementation of these protocols during the roll-out of this intervention study in the spring of 2020 led to significantly improved results in terms of data completeness and data quality.

The protocol describes simple and cost-effective solutions to real-life challenges affecting recruitment, compliance, and data quality in population studies employing wearable sensors. The steps described here allowed for the successful setup of a consumer wearable device for exposure and health monitoring in a large population study involving children with asthma and adults with atrial fibrillation. Figure 6 provides a graphical overview of the provided protocols and illustrates the key ste...

Watch this Scientific Journal Video about Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies at JoVE.com

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Commercial smartwatches equipped with wearable sensors are increasingly being used in population studies. However, their utility is often constrained by their limited battery duration, memory capacity, and data quality. This report provides examples of cost-effective solutions to real-life technical challenges encountered during studies involving asthmatic children and elderly cardiac patients.

Wearable sensors, which are often embedded in commercial smartwatches, allow for continuous and non-invasive health measurements and exposure assessments ...

setup-consumer-wearable-devices-for-exposure-health-monitoring

Research

JoVE Journal

Bioengineering

2.4K Views.  University of Cyprus. Het doel van deze video is om onze ervaring te bieden met het inzetten van draagbare sensoren ingebed in commerciële smartwatches voor de voorstellen van het live media-project, een bevolkingsonderzoek gericht op de beperking van gezondheidseffecten. Het project omvatte twee verschillende bevolkingsgroepen patiënten met atriumfibrilleren, astmatische kinderen van zes tot 11 jaar oud voor de beoordeling van hun fysieke activiteit en hun persoonlijke locatie. Beide groepen werden uitgerust me...

Video: Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

A pragmatic breath-based intervention to benefit human performance and stress management is timely and valuable to individuals seeking holistic approaches for emotional regulation and optimizing compensatory reserve mechanisms. This protocol is designed to not only teach mind-body awareness but also to provide feedback utilizing physiological data and survey results. The primary findings of this study showed that heart coherence and alpha variables were significantly correlated after four weeks of the breath-based meditation stress protocol. Meditation and rhythmic breathing produced significant increases in alpha brain activity. These brain physiological responses conformed to the Pleth Variability Index (PVI) changes, suggesting the ability of the human body to enter into a meditative state and effectively manage stress. When assessed after four weeks of daily practicing the techniques employed in the stress management protocol, based on the Five Facet Mindfulness Questionnaire, subjects improved in applying mindfulness skills. The overall mindfulness score, Pleth variability index (PVI), and perfusion index (PI) increased after the 4-week intervention period. Results from electroencephalography (brain waves) were consistent with a meditative state during the post-study follow-up session. This provides evidence that wearable devices are feasible for data collection during a breath-based stress management intervention. This protocol can be easily and efficiently implemented into any study design in which physiological data are desired in a non-laboratory-based setting.

Stress is an unavoidable and persistent component of life and holistic approaches for its management are being considered. A standardized methodology was created to demonstrate the feasibility of a breath-based stress management protocol that can be used with commercially available portable technology.

A pragmatic breath-based intervention to benefit human performance and stress management is timely and valuable to individuals seeking holistic approaches ...

Behavior

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

An end-to-end suite of technologies has been established for the unobtrusive and continuous monitoring of health and activity changes occurring in the daily life of older adults over extended periods of time. The technology is aggregated into a system that incorporates the principles of being minimally obtrusive, while generating secure, privacy protected, continuous objective data in real-world (home-based) settings for months to years. The system includes passive infrared presence sensors placed throughout the home, door contact sensors installed on exterior doors, connected physiological monitoring devices (such as scales), medication boxes, and wearable actigraphs. Driving sensors are also installed in participants' cars and computer (PC, tablet or smartphone) use is tracked. Data is annotated via frequent online self-report options that provide vital information with regard to the data that is difficult to infer via sensors such as internal states (e.g., pain, mood, loneliness), as well as data referent to activity pattern interpretation (e.g., visitors, rearranged furniture). Algorithms have been developed using the data obtained to identify functional domains key to health or disease activity monitoring, including mobility (e.g., room transitions, steps, gait speed), physiologic function (e.g., weight, body mass index, pulse), sleep behaviors (e.g., sleep time, trips to the bathroom at night), medication adherence (e.g., missed doses), social engagement (e.g., time spent out of home, time couples spend together), and cognitive function (e.g., time on computer, mouse movements, characteristics of online form completion, driving ability). Change detection of these functions provides a sensitive marker for the application in health surveillance of acute illnesses (e.g., viral epidemic) to the early detection of prodromal dementia syndromes. The system is particularly suitable for monitoring the efficacy of clinical interventions in natural history studies of geriatric syndromes and in clinical trials.

Unobtrusive sensors and pervasive computing technology incorporated into the daily home life of older adults enables meaningful health and activity changes to be recorded continuously for months to years, providing ecologically valid, high frequency, multi-domain data for research or clinical use.

An end-to-end suite of technologies has been established for the unobtrusive and continuous monitoring of health and activity changes occurring in the ...

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

A well-defined experimental procedure is put forward to evaluate maximum exposure conditions in a worst-case scenario whilst avoiding the uncertainties caused by the use of personal exposimeters (PEMs) as measuring devices: the body shadow effect (BSE), the limited sensitivity range, and the non-identification of the radiation source. An upper bound for exposure levels to EMF in several indoor enclosures has been measured and simulated. The frequency used for the study is 2.4 GHz, as it is the most commonly used band in indoor communications. Although recorded values are well below the International Commission for Non-Ionizing Radiation Protection (ICNIRP) reference levels, there is a particular need to provide reliable exposure levels within particularly sensitive environments. In terms of electromagnetic field (EMF) exposure, limits established in national and international standards for health protection have been set for unperturbed exposure conditions; that is, for real and objective exposure data that have not been altered in any way.

This study describes a protocol to measure exposure levels in the 2.4 GHz band, avoiding the uncertainties caused by the use of personal exposimeters as measuring devices. These alterations of the exposure levels should be taken into account, especially in compliance testing, where exposure limits are defined from non-perturbed data.

A well-defined experimental procedure is put forward to evaluate maximum exposure conditions in a worst-case scenario whilst avoiding the uncertainties ...

Engineering

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Despite the evidence that cardiac rehabilitation (CR) reduces the risk of recurrent cardiac events, only a minority of eligible patients are willing to join existing programs at cardiac rehabilitation centers. The unique remote patient monitoring system presented here enables healthcare providers to monitor CR patients at home in real-time and at low cost. The system combines mobile technology, artificial intelligence, and supportive services, expanding the delivery of medical care to the patient&#39;s home. The primary aim of the study is to increase the long-term adherence to physical activity in patients who participate in CR via the addition of a home-based digitally monitored CR component to the standard CR program in patients with ischemic heart disease (IHD), with the idea of forming new habitual health behaviors and increasing the long-term motivation for physical exercise (PE) habits at home. Secondary aims are to assess the program&#39;s impact on the physical activity level measured by average steps per day, minutes of exercise per week, blood pressure, metabolic parameters, body mass index, and waist-to-hip ratio, as well as a quality-of-life (QoL) questionnaire.The study has two arms: (1) home-based monitored exercise using a smart digital garment and wristband, in addition to motivation and reinforcement via text messages; (2) standard CR facility-based exercise. The study design is a randomized, controlled trial comparing standard CR to a home-based monitoring and reinforcement program. The study program is designed for 12 weeks.Clinical tests and anthropometric measurements are performed before and after the study, measuring height, weight, waist circumference, visceral fat and body mass index (BMI), blood pressure, and HbA1c and lipid profile. Patients have to complete a baseline survey including socio-demographic characteristics and QoL questionnaire SF-36. At the end of the study, patients complete a survey regarding the use of the smart digital garment&#39;s benefits and usability. The study is currently underway.

The aim is to promote a new approach to cardiac rehabilitation (CR), using a unique remote patient monitoring system that will enable healthcare providers to monitor CR patients at home at low cost, with the intention of making CR services more accessible and improving compliance. The study is currently underway.

Despite the evidence that cardiac rehabilitation (CR) reduces the risk of recurrent cardiac events, only a minority of eligible patients are willing to ...

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

Wearable commercial-off-the-shelf (COTS) devices have become popular during the last years to monitor sports activities, primarily among young people. These devices include sensors to gather data on physiological signals such as heart rate, skin temperature or galvanic skin response. By applying data analytics techniques to these kinds of signals, it is possible to obtain estimations of higher-level aspects of human behavior. In the literature, there are several works describing the use of physiological data collected using clinical devices to obtain information on sleep patterns or stress. However, it is still an open question whether data captured using COTS wrist wearables is sufficient to characterize the learners' psychological state in educational settings. This paper discusses a protocol to evaluate stress estimation from data obtained using COTS wrist wearables. The protocol is carried out in two phases. The first stage consists of a controlled laboratory experiment, where a mobile app is used to induce different stress levels in a student by means of a relaxing video, a Stroop Color and Word test, a Paced Auditory Serial Addition test, and a hyperventilation test. The second phase is carried out in the classroom, where stress is analyzed while performing several academic activities, namely attending to theoretical lectures, doing exercises and other individual activities, and taking short tests and exams. In both cases, both quantitative data obtained from COTS wrist wearables and qualitative data gathered by means of questionnaires are considered. This protocol involves a simple and consistent method with a stress induction app and questionnaires, requiring a limited participation of support staff.

A protocol to evaluate solutions based on commercial-off-the-shelf (COTS) wrist wearables to estimate stress in students is proposed. The protocol is carried out in two phases, an initial laboratory-based stress induction test, and a monitoring stage taking place in the classroom while the student is performing academic activities.

Wearable commercial-off-the-shelf (COTS) devices have become popular during the last years to monitor sports activities, primarily among young people. ...

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

The current protocol aims to showcase the technology integration, providing a detailed description of adopting the HealthCloud app, developed by the Healthy Landscape and Healthy People Lab, National Taiwan University (HLHP-NTU), on smartphones and smartwatches to collect data on users' real-time psychological and physiological responses and environmental information. A flexible and integrated research method was proposed because it can be difficult to measure multi-dimensional aspects of personal data in on-site studies in landscape and outdoor recreation research. An on-site study conducted in 2020 at the National Taiwan University campus was used as an application example. A dataset of 385 participants was used after excluding invalid samples. During the experiment, participants were asked to walk around campus for 30 min when their heart rate and psychological-scale items were measured, together with several environmental metrics. This work aimed to provide a possible solution to help on-site studies track real-time human responses that match ambient factors. Due to the app's flexibility, its use on wearable devices shows excellent potential for multidisciplinary research studies.

The present protocol introduces a non-commercial self-developed application for collecting real-time on-site data, including psychological scales, GPS location, heart rate, and blood-oxygen saturation level, as well as the application's operating procedures. An empirical study conducted in Taiwan in 2020 was used as an application example.

The current protocol aims to showcase the technology integration, providing a detailed description of adopting the HealthCloud app, developed by the ...

Environment

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Here, we present a visual representation of standard procedures to collect population-level data on personal exposures to household air pollution (HAP) from two different study sites in a resource-constrained setting of Tamil Nadu, India. Particulate matter PM2.5 (particles smaller than 2.5 microns in aerodynamic diameter), carbon monoxide (CO), and black carbon (BC) were measured in pregnant mothers (M), other adult women (OAW), and children (C) at various times over a 4 year period. In addition, stove usage monitoring (SUMs) with data-logging thermometers and ambient measurements of air pollution were carried out. Furthermore, the feasibility of collecting biological samples (urine and dried blood spots [DBSs]) from study participants at the field sites was successfully demonstrated. Based on findings from this and earlier studies, the methods used here have enhanced the data quality and avoided issues with household air pollution and biological sample collection in resource-constrained situations. The procedures established may be a valuable educational tool and resource for researchers conducting similar air pollution and health studies in India and other low- and middle-income countries (LMICs).

We detail the consistent, high-quality procedures used throughout air and biological sampling processes at Indian field sites during a large randomized controlled trial. Insights gathered from the oversight of applications of innovative technologies, adapted for exposure assessment in rural regions, enable better field data collection practices with more reliable outcomes.

Here, we present a visual representation of standard procedures to collect population-level data on personal exposures to household air pollution (HAP) ...

Home-Based Monitor for Gait and Activity Analysis

Current outcomes in neuromuscular disorder clinical trials include motor function scales, timed tests, and strength measures performed by trained clinical evaluators. These measures are slightly subjective and are performed during a visit to a clinic or hospital and constitute therefore a point assessment. Point assessments can be influenced by daily patient condition or factors such as fatigue, motivation, and intercurrent illness. To enable home-based monitoring of gait and activity, a wearable magneto-inertial sensor (WMIS) has been developed. This device is a movement monitor composed of two very light watch-like sensors and a docking station. Each sensor contains a tri-axial accelerometer, gyroscope, magnetometer, and a barometer that record linear acceleration, angular velocity, the magnetic field of the movement in all directions, and barometric altitude, respectively. The sensors can be worn on the wrist, ankle, or wheelchair to record the subject&#8217;s movements during the day. The docking station enables data uploading and recharging of sensor batteries during the night. Data are analyzed using proprietary algorithms to compute parameters representative of the type and intensity of the performed movement. This WMIS can record a set of digital biomarkers, including cumulative variables, such as total number of meters walked, and descriptive gait variables, such as the percentage of the most rapid or longest stride that represents the top performance of patient over a predefined period of time.

This innovative device uses magneto-inertial sensors to permit gait and activity analysis in uncontrolled environments. Currently in the qualification process as an outcome measure in the European Medical Agency, one of the applications will be to serve as a clinical endpoint in clinical trials in neuromuscular diseases.

Current outcomes in neuromuscular disorder clinical trials include motor function scales, timed tests, and strength measures performed by trained clinical ...

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

Perspiration monitoring can be utilized for the detection of certain diseases, such as thermoregulation and mental disorders, particularly when the patients are unaware of such disorders or are having difficulty expressing their symptoms. Until now, several devices for perspiration monitoring have been developed; however, such devices tend to have a relatively large exterior, considerable power consumption, and/or less sensitivity.
Recently, we developed a small, wireless device for perspiration monitoring. The device consists of a temperature/relative humidity (T/RH) sensor, battery-driven small data logger, and silica gel as a desiccant in a small cylindrical exterior. The T/RH sensor is placed between the detection windows (through which the water vapor from the skin enters) and the silica gel. The underlying principle of the perspiration monitoring device is based on Fick&#39;s law of diffusion, which means that water vapor flux from the skin to the silica gel (i.e.&#160;transepidermal water loss and perspiration) can be captured by change in humidity at the T/RH sensor. In addition, a baseline subtraction method was adopted to distinguish perspiration and transepidermal water loss.
As shown in the previous report, the developed device can monitor the perspiration at any sites of the body in an easy, wireless manner. However, detailed methods of how to use the device have not been disclosed yet. In this article, therefore, we would like to show the point-by-point tutorials of how to use the device for perspiration monitoring, by showing the sympathetic activity test with the sympathetic skin response monitoring as an example.

Recently, we developed a small wireless device for perspiration monitoring. In this article, we present detailed protocols on how to use the device for perspiration monitoring with an example of the sympathetic activity test.

Perspiration monitoring can be utilized for the detection of certain diseases, such as thermoregulation and mental disorders, particularly when the ...

Medicine

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Wearable electronic devices are becoming key players in monitoring the body signals predominantly altered during physical activity tracking. Considering the growing interest in telemedicine and personalized care driven by the rise of the Internet of Things era, wearable sensors have expanded their field of application into healthcare. To ensure the collection of clinically relevant data, these devices need to establish conformable interfaces with the human body to provide high-signal-quality recordings and long-term operation. To this end, this paper presents a method to easily fabricate conformable thin tattoo- and soft textile-based sensors for their application as wearable organic electronic devices in a broad spectrum of surface electrophysiological recordings. 
The sensors are developed through a cost-effective and scalable process of cutaneous electrode patterning using poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT:PSS), the most popular conductive polymer in bioelectronics, on off-the-shelf, wearable substrates. This paper presents key steps in electrode characterization through impedance spectroscopy to investigate their performance in signal transduction when coupled with the skin. Comparative studies are required to position the performance of novel sensors with respect to the clinical gold standard. To validate the fabricated sensors' performance, this protocol shows how to perform various biosignal recordings from different configurations through a user-friendly and portable electronic setup in a laboratory environment. This methods paper will allow multiple experimental initiatives to advance the current state of the art in wearable sensors for human body health monitoring.

Two recent technologies-tattoo and textiles-have demonstrated promising results in cutaneous sensing. Here, we present the fabrication and evaluation methods of tattoo and textile electrodes for cutaneous electrophysiological sensing. These electronic interfaces made of conductive polymers outperform the existing standards in terms of comfort and sensitivity.

Wearable electronic devices are becoming key players in monitoring the body signals predominantly altered during physical activity tracking. Considering ...

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Samenvatting

Meer video's verkennen