Myoelectric control of prosthetic hands: state-of-the-art review
Medical Devices: Evidence and Research, 2016 Purushothaman Geethanjali School of Electrical Engineering Department of Control and Automation VIT University, Vellore, Tamil Nadu, India Abstract: Myoelectric signals (MES) have been used in various applications, in particular, for identification of ...
Geethanjali P
exaly +2 more sources
Real-time, simultaneous myoelectric control using a convolutional neural network. [PDF]
PLoS ONE, 2018 The evolution of deep learning techniques has been transformative as they have allowed complex mappings to be trained between control inputs and outputs without the need for feature engineering.
Ali Ameri +3 more
doaj +2 more sources
Convergence in myoelectric control: Between individual patterns of myoelectric learning [PDF]
Biomedical Signal Processing and Control, 2021 Objective: To support the design of assistive devices and prostheses, we investigated the changes in upper-limb muscle synergies during the practice of a myoelectric controlled game using proportional-sequential control. Methods: We evaluated 1) whether individual muscle synergies change in their structure; 2) variability; 3) distinctiveness; and 4 ...
Matheus M. Pacheco +4 more
openaire +1 more source
Development of the Multi-DOF Myoelectric Hand Prosthesis with the Intuitive Control Algorithm [PDF]
한국정밀공학회지, 2020 This paper proposes a myoelectric hand prosthesis with an easy control strategy to apply more conveniently with just two EMG sensors. The myoelectric hand prosthesis is composed of a multi-DOF finger mechanism, a controller, and an intuitive control ...
Sung Yoon Jung +5 more
doaj +1 more source
Posture-invariant myoelectric control with self-calibrating random forests [PDF]
Frontiers in NeuroroboticsXinyu Jiang +2 more
exaly +2 more sources
Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing. [PDF]
PLoS ONE, 2017 There are some practical factors, such as arm position change and donning/doffing, which prevent robust myoelectric control. The objective of this study is to precisely characterize the impacts of the two representative factors on myoelectric ...
Han-Jeong Hwang +2 more
doaj +1 more source
Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity [PDF]
Sensors, 2020 Evan Campbell +2 more
exaly +2 more sources
Design, Construction and Tests of a Low-Cost Myoelectric Thumb
Technologies, 2021 Myoelectric signals can be used to control prostheses or exoskeletons as well as robots, i.e., devices assisting the user or replacing a missing part of the body. A typical application of myoelectric prostheses is the human hand. Here, the development of
Murat Ayvali +2 more
doaj +1 more source
Adaptation to random and systematic errors: Comparison of amputee and non-amputee control interfaces with varying levels of process noise. [PDF]
PLoS ONE, 2017 The objective of this study was to understand how people adapt to errors when using a myoelectric control interface. We compared adaptation across 1) non-amputee subjects using joint angle, joint torque, and myoelectric control interfaces, and 2) amputee
Reva E Johnson +3 more
doaj +1 more source
Frontiers in Neuroscience, 2022 Motor learning mediated by motor training has in the past been explored for rehabilitation. Myoelectric interfaces together with exoskeletons allow patients to receive real-time feedback about their muscle activity.
Andrea Sarasola-Sanz +10 more
doaj +1 more source