Machine learning in robot-assisted upper limb rehabilitation: A focused review

Q Ai, Z Liu, W Meng, Q Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Robot-assisted rehabilitation, which can provide repetitive, intensive, and high-precision
physics training, has a positive influence on the motor function recovery of stroke patients …

EMG processing based measures of fatigue assessment during manual lifting

EF Shair, SA Ahmad, MH Marhaban… - BioMed research …, 2017 - Wiley Online Library
Manual lifting is one of the common practices used in the industries to transport or move
objects to a desired place. Nowadays, even though mechanized equipment is widely …

[HTML][HTML] Intelligent human computer interaction based on non redundant EMG signal

Y Sun, C Xu, G Li, W Xu, J Kong, D Jiang, B Tao… - Alexandria Engineering …, 2020 - Elsevier
Human computer interaction plays an increasingly important role in our life. People need
more intelligent, concise and efficient human-computer interaction. It is of great significance …

Estimation of continuous thumb angle and force using electromyogram classification

AR Siddiqi, SN Sidek - International Journal of Advanced …, 2016 - journals.sagepub.com
Human hand functions range from precise minute handling to heavy and robust movements.
Remarkably, 50% of all hand functions are made possible by the thumb. Therefore …

An overview of artificial intelligence-based soft upper limb exoskeleton for rehabilitation: a descriptive review

S Halder, A Kumar - arxiv preprint arxiv:2301.04336, 2023 - arxiv.org
The upper limb robotic exoskeleton is an electromechanical device which use to recover a
patients motor dysfunction in the rehabilitation field. It can provide repetitive, comprehensive …

Muscle Fatigue Identification in Temporal-Spatial-Spectral Joint Domain

X Zhang, Q She, P Ma, B Zhang… - 2022 41st Chinese …, 2022 - ieeexplore.ieee.org
In order to effectively analyze the multi-dimensional feature of surface electromyography
(sEMG) signals under fatigue state, a fatigue identification method based on temporal …

Enhancing Human-Exoskeleton Performance through Real-Time Parameter Tuning: A Reinforcement Learning Framework for Upper-Limb Assistive Robots

A Majdi - University of Massachusetts Lowell, 2023 - search.proquest.com
Upper-limb assistive robots provide a promising solution for enhancing the daily lives of
individuals with disabilities and the elderly in regaining independence and performing daily …

Gaussian smoothing filter for improved EMG signal modeling

IFJ Ghalyan, ZM Abouelenin, G Annamalai… - Signal Processing in …, 2020 - Springer
The goal of the research presented in this chapter is to improve the classification process of
electromyography (EMG) signals that are contaminated with noise. If the existence of noise …

Surface Emg channel selection for thumb motion classificationsignal

WF Xu, YINF FANG, GY Zhang, ZJIE JU… - 2018 International …, 2018 - ieeexplore.ieee.org
Simplifying the interaction between humans and computers has become intensively
important. Handgesture contains large amount information that can facilitate the …

Surface EMG electrode distribution for thumb motion classification based on wireless communication equipment

W Xu, G Li, Z Ju, H Liu - International Journal of Wireless …, 2019 - inderscienceonline.com
The interaction between humans and computers has become more necessary and more
specific. Thumb as the most important finger plays a decisive role in decoding the gesture …