Design considerations of a wearable electronic-skin for mental health and wellness: balancing biosignals and human factors

Chronic stress has been associated with a variety of pathophysiological risks including developing mental illness. Conversely, appropriate stress management, can be used to foster mental wellness proactively. Yet, there is no existing method that accurately and objectively monitors stress. With recent advances in electronic-skin (e-skin) and wearable technologies, it is possible to design devices that continuously measure physiological parameters linked to chronic stress and other mental health and wellness conditions. However, the design approach should be different from conventional wearables due to considerations like signal-to-noise ratio and the risk of stigmatization. Here, we present a multi-part study that combines user-centered design with engineering-centered data collection to inform future design efforts. To assess human factors, we conducted an n=24 participant design probe study that examined perceptions of an e-skin for mental health and wellness as well as preferred wear locations. We complement this with an n=10 and n=16 participant data collection study to measure physiological signals at several potential wear locations. By balancing human factors and biosignals, we conclude that the upper arm and forearm are optimal wear locations.

[1]  Ali Javey,et al.  Glove-based sensors for multimodal monitoring of natural sweat , 2020, Science Advances.

[2]  Yasser Khan,et al.  Organic Multi-Channel Optoelectronic Sensors for Wearable Health Monitoring , 2019, IEEE Access.

[3]  Yuanwen Jiang,et al.  A wireless body area sensor network based on stretchable passive tags , 2019, Nature Electronics.

[4]  Marieke Soeter,et al.  Ambulatory measurement of cortisol: Where do we stand, and which way to follow? , 2019, Sensing and Bio-Sensing Research.

[5]  Donggeon Han,et al.  A flexible organic reflectance oximeter array , 2018, Proceedings of the National Academy of Sciences.

[6]  Dan J Stein,et al.  The Lancet Commission on global mental health and sustainable development , 2018, The Lancet.

[7]  A. Steckl,et al.  Stress Biomarkers in Biological Fluids and Their Point-of-Use Detection. , 2018, ACS sensors.

[8]  Alberto Salleo,et al.  Molecularly selective nanoporous membrane-based wearable organic electrochemical device for noninvasive cortisol sensing , 2018, Science Advances.

[9]  A. Serretti,et al.  The association between electrodermal activity (EDA), depression and suicidal behaviour: A systematic review and narrative synthesis , 2018, BMC Psychiatry.

[10]  S. Segerstrom,et al.  Psychosocial functioning and the cortisol awakening response: Meta-analysis, P-curve analysis, and evaluation of the evidential value in existing studies , 2017, Biological Psychology.

[11]  Clint Zeagler,et al.  Where to wear it: functional, technical, and social considerations in on-body location for wearable technology 20 years of designing for wearability , 2017, SEMWEB.

[12]  M. Friedrich Depression Is the Leading Cause of Disability Around the World. , 2017, JAMA.

[13]  Claire M. Lochner,et al.  Monitoring of Vital Signs with Flexible and Wearable Medical Devices , 2016, Advanced materials.

[14]  Stephen B. Gilbert,et al.  The WEAR Scale: Developing a Measure of the Social Acceptability of a Wearable Device , 2016, CHI Extended Abstracts.

[15]  J. Lichtenberg,et al.  Confirmatory Factor Analysis of the Perceived Stress Scale-4 in a Community Sample. , 2016, Stress and health : journal of the International Society for the Investigation of Stress.

[16]  Jai Kyoung Sim,et al.  A Flexible and Wearable Human Stress Monitoring Patch , 2016, Scientific Reports.

[17]  Enzo Pasquale Scilingo,et al.  Wearable Monitoring for Mood Recognition in Bipolar Disorder Based on History-Dependent Long-Term Heart Rate Variability Analysis , 2014, IEEE Journal of Biomedical and Health Informatics.

[18]  Andrew H. Kemp,et al.  Anxiety Disorders are Associated with Reduced Heart Rate Variability: A Meta-Analysis , 2014, Front. Psychiatry.

[19]  J. South,et al.  New, normative, English-sample data for the Short Form Perceived Stress Scale (PSS-4) , 2013, Journal of health psychology.

[20]  Ellen Yi-Luen Do,et al.  Don't mind me touching my wrist: a case study of interacting with on-body technology in public , 2013, ISWC '13.

[21]  N. Taylor,et al.  Regional variations in transepidermal water loss, eccrine sweat gland density, sweat secretion rates and electrolyte composition in resting and exercising humans , 2013, Extreme Physiology & Medicine.

[22]  K. Felmingham,et al.  Impact of Depression and Antidepressant Treatment on Heart Rate Variability: A Review and Meta-Analysis , 2010, Biological Psychiatry.

[23]  Patrick W. Corrigan,et al.  Mental illness stigma: Concepts, consequences, and initiatives to reduce stigma , 2005, European Psychiatry.

[24]  E. Epel,et al.  Accelerated telomere shortening in response to life stress. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[25]  D. Cicchetti,et al.  Stigma and mental disorder: Conceptions of illness, public attitudes, personal disclosure, and social policy , 2000, Development and Psychopathology.

[26]  Bruce Mcewen,et al.  Stress, Adaptation, and Disease: Allostasis and Allostatic Load , 1998, Annals of the New York Academy of Sciences.