[HTML][HTML] Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review

I Boukhennoufa, X Zhai, V Utti, J Jackson… - … Signal Processing and …, 2022 - Elsevier
A cerebrovascular accident or stroke is the second commonest cause of death in the world. If
it is not fatal, it can result in paralysis, sensory impairment and significant disability …

Wearable devices for continuous monitoring of biosignals: Challenges and opportunities

T Stuart, J Hanna, P Gutruf - APL bioengineering, 2022 - pubs.aip.org
The ability for wearable devices to collect high-fidelity biosignals continuously over weeks
and months at a time has become an increasingly sought-after characteristic to provide …

Wearable triboelectric sensors enabled gait analysis and waist motion capture for IoT‐based smart healthcare applications

Q Zhang, T Jin, J Cai, L Xu, T He, T Wang… - Advanced …, 2022 - Wiley Online Library
Gait and waist motions always contain massive personnel information and it is feasible to
extract these data via wearable electronics for identification and healthcare based on the …

Bioinspired shark skin-based liquid metal triboelectric nanogenerator for self-powered gait analysis and long-term rehabilitation monitoring

C Yeh, FC Kao, PH Wei, A Pal, K Kaswan, YT Huang… - Nano Energy, 2022 - Elsevier
Real-time gait monitoring is crucial for neuromuscular diagnosis and rehabilitation of
neuromuscular ailments. However, the existing wearable sensors for gait analysis suffer …

Differential cardiopulmonary monitoring system for artifact-canceled physiological tracking of athletes, workers, and COVID-19 patients

H Jeong, JY Lee, KH Lee, YJ Kang, JT Kim, R Avila… - Science …, 2021 - science.org
Soft, skin-integrated electronic sensors can provide continuous measurements of diverse
physiological parameters, with broad relevance to the future of human health care. Motion …

Wearable devices: implications for precision medicine and the future of health care

M Babu, Z Lautman, X Lin, MHB Sobota… - Annual Review of …, 2024 - annualreviews.org
Wearable devices are integrated analytical units equipped with sensitive physical, chemical,
and biological sensors capable of noninvasive and continuous monitoring of vital …

Mobile health solutions: An opportunity for rehabilitation in low-and middle income countries?

B Bonnechère, O Kossi, J Mapinduzi, J Panda… - Frontiers in Public …, 2023 - frontiersin.org
Mobile health (mHealth) development has advanced rapidly, indicating promise as an
effective patient intervention. mHealth has many potential benefits that could help the …

[HTML][HTML] Investigating activity recognition for hemiparetic stroke patients using wearable sensors: A deep learning approach with data augmentation

Y Oh, SA Choi, Y Shin, Y Jeong, J Lim, S Kim - Sensors, 2023 - mdpi.com
Measuring the daily use of an affected limb after hospital discharge is crucial for hemiparetic
stroke rehabilitation. Classifying movements using non-intrusive wearable sensors provides …

[HTML][HTML] An Artificial Intelligence model for smart post-stroke assessment using wearable sensors

N Razfar, R Kashef, F Mohammadi - Decision Analytics Journal, 2023 - Elsevier
Wearable sensors provide a recording capability of the body segments' motion. By collecting
and analyzing the segments' movements, automating the post-stroke assessment process …

Triboelectric gait sensing analysis system for self‐powered IoT‐based human motion monitoring

L Zhao, X Guo, Y Pan, S Jia, L Liu, WA Daoud… - InfoMat, 2024 - Wiley Online Library
Quantitative analysis of gait parameters, such as stride frequency and step speed, is
essential for optimizing physical exercise for the human body. However, the current …