Recent advances and challenges in textile electrodes for wearable biopotential signal monitoring: A comprehensive review

CM Vidhya, Y Maithani, JP Singh - Biosensors, 2023 - mdpi.com
The technology of wearable medical equipment has advanced to the point where it is now
possible to monitor the electrocardiogram and electromyogram comfortably at home. The …

[HTML][HTML] Hydrogels and Aerogels for Versatile Photo-/Electro-Chemical and Energy-Related Applications

J Sun, T Luo, M Zhao, L Zhang, Z Zhao, T Yu… - …, 2024 - pmc.ncbi.nlm.nih.gov
The development of photo-/electro-chemical and flexible electronics has stimulated research
in catalysis, informatics, biomedicine, energy conversion, and storage applications. Gels (eg …

Human arm workout classification by arm sleeve device based on machine learning algorithms

S Chun, S Kim, J Kim - Sensors, 2023 - mdpi.com
Wearables have been applied in the field of fitness in recent years to monitor human
muscles by recording electromyographic (EMG) signals. Understanding muscle activation …

Design, Fabrication, and Evaluation of 3D Biopotential Electrodes and Intelligent Garment System for Sports Monitoring

D Shen, J Wang, V Koncar, K Goyal, X Tao - Sensors, 2024 - mdpi.com
This study presents the development and evaluation of an innovative intelligent garment
system, incorporating 3D knitted silver biopotential electrodes, designed for long-term sports …

[HTML][HTML] Consensus for experimental design in electromyography (CEDE) project: Checklist for reporting and critically appraising studies using EMG (CEDE-Check)

M Besomi, V Devecchi, D Falla, K McGill… - Journal of …, 2024 - Elsevier
The diversity in electromyography (EMG) techniques and their reporting present significant
challenges across multiple disciplines in research and clinical practice, where EMG is …

Long-Term Upper-Limb Prosthesis Myocontrol via High-Density sEMG and Incremental Learning

D Di Domenico, N Boccardo, A Marinelli… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
Noninvasive human-machine interfaces such as surface electromyography (sEMG) have
long been employed for controlling robotic prostheses. However, classical controllers are …

[HTML][HTML] A Study of Model Iterations of Fitts' Law and Its Application to Human–Computer Interactions

H Xiao, Y Sun, Z Duan, Y Huo, J Liu, M Luo, Y Li… - Applied Sciences, 2024 - mdpi.com
Fitts' law, a predictive model for motor task completion time, is widely utilized in human–
computer interaction (HCI) research. While its formulas in two dimensions have achieved …

The improvement of body signal measurement using adhesive intermediate electrode between skin and textile

JE Song, H Kim, D Lim, S Lee - Journal of Engineered Fibers …, 2024 - journals.sagepub.com
This study suggests solutions to improve the adhesive of textile electrodes and the body
signal occasion such as surface electromyography (sEMG). For this, a textile electrode …