Machine learning for healthcare wearable devices: the big picture

F Sabry, T Eltaras, W Labda, K Alzoubi… - Journal of Healthcare …, 2022 - Wiley Online Library
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

Effectiveness of progressive muscle relaxation, deep breathing, and guided imagery in promoting psychological and physiological states of relaxation

L Toussaint, QA Nguyen, C Roettger… - Evidence‐Based …, 2021 - Wiley Online Library
Research suggests that multiple forms of relaxation training (eg, progressive muscle
relaxation, meditation, breathing exercises, visualization, and autogenics) can help …

[HTML][HTML] Measuring biosignals with single circuit boards

G Ehrmann, T Blachowicz, SV Homburg, A Ehrmann - Bioengineering, 2022 - mdpi.com
To measure biosignals constantly, using textile-integrated or even textile-based electrodes
and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes …

HRV and stress: a mixed-methods approach for comparison of wearable heart rate sensors for biofeedback

M Umair, N Chalabianloo, C Sas, C Ersoy - IEEE Access, 2021 - ieeexplore.ieee.org
Stress is one of the most significant health problems in today's world. Existing work has used
heart rate variability (HRV) to detect stress and provide biofeedback in order to regulate it …

[HTML][HTML] A systematic approach to the design and characterization of a smart insole for detecting vertical ground reaction force (vGRF) in gait analysis

AM Tahir, MEH Chowdhury, A Khandakar… - Sensors, 2020 - mdpi.com
Gait analysis is a systematic study of human locomotion, which can be utilized in various
applications, such as rehabilitation, clinical diagnostics and sports activities. The various …

[HTML][HTML] A survey on wearable sensors for mental health monitoring

N Gomes, M Pato, AR Lourenco, N Datia - Sensors, 2023 - mdpi.com
Mental illness, whether it is medically diagnosed or undiagnosed, affects a large proportion
of the population. It is one of the causes of extensive disability, and f not properly treated, it …

Application level performance evaluation of wearable devices for stress classification with explainable AI

N Chalabianloo, YS Can, M Umair, C Sas… - Pervasive and Mobile …, 2022 - Elsevier
Stress has become one of the most prominent problems of modern societies and a key
contributor to major health issues. Dealing with stress effectively requires detecting it in real …

From biodata to somadata

M Alfaras, V Tsaknaki, P Sanches, C Windlin… - Proceedings of the …, 2020 - dl.acm.org
Biosensing technologies are increasingly available as off-the-shelf products, yet for many
designers, artists and non-engineers, these technologies remain difficult to design with …

[HTML][HTML] Non-invasive Vagus nerve stimulation in treatment of disorders of consciousness–longitudinal case study

A Osińska, A Rynkiewicz, M Binder… - Frontiers in …, 2022 - frontiersin.org
Neuromodulatory electroceuticals such as vagus nerve stimulation have been recently
gaining traction as potential rehabilitation tools for disorders of consciousness (DoC). We …

[HTML][HTML] PhysioKit: An Open-Source, Low-Cost Physiological Computing Toolkit for Single-and Multi-User Studies

J Joshi, K Wang, Y Cho - Sensors, 2023 - mdpi.com
The proliferation of physiological sensors opens new opportunities to explore interactions,
conduct experiments and evaluate the user experience with continuous monitoring of bodily …