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Machine learning in robot-assisted upper limb rehabilitation: A focused review
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 …
physics training, has a positive influence on the motor function recovery of stroke patients …
EMG processing based measures of fatigue assessment during manual lifting
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 …
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 …
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 …
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 …
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 …
(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 …
individuals with disabilities and the elderly in regaining independence and performing daily …
Gaussian smoothing filter for improved EMG signal modeling
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 …
electromyography (EMG) signals that are contaminated with noise. If the existence of noise …
Surface Emg channel selection for thumb motion classificationsignal
Simplifying the interaction between humans and computers has become intensively
important. Handgesture contains large amount information that can facilitate the …
important. Handgesture contains large amount information that can facilitate the …
Surface EMG electrode distribution for thumb motion classification based on wireless communication equipment
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 …
specific. Thumb as the most important finger plays a decisive role in decoding the gesture …