Results 1 to 10 of about 4,745,189 (173)

A Surface Electromyography (sEMG) System Applied for Grip Force Monitoring [PDF]

Sensors
Muscles play an indispensable role in human life. Surface electromyography (sEMG), as a non-invasive method, is crucial for monitoring muscle status.
Dantong Wu, Peng Tian, Shuai Zhang, Qihang Wang, Kang Yu, Yunfeng Wang, Zhixing Gao, Lin Huang, Xiangyu Li, Xingchen Zhai, Meng Tian, Chengjun Huang, Haiying Zhang, Jun Zhang   +13 more
doaj   +5 more sources

Improved Network and Training Scheme for Cross-Trial Surface Electromyography (sEMG)-Based Gesture Recognition. [PDF]

Bioengineering (Basel), 2023
To enhance the performance of surface electromyography (sEMG)-based gesture recognition, we propose a novel network-agnostic two-stage training scheme, called sEMGPoseMIM, that produces trial-invariant representations to be aligned with corresponding ...
Dai Q, Wong Y, Kankanhali M, Li X, Geng W.   +4 more
europepmc   +3 more sources

Dataset for multi-channel surface electromyography (sEMG) signals of hand gestures [PDF]

Data in Brief, 2022
This paper presents an electromyography (EMG) signal dataset for use in human-computer interaction studies. The dataset includes 4-channel surface EMG data from 40 participants with an equal gender distribution.
Mehmet Akif Ozdemir, Deniz Hande Kisa, Onan Guren, Aydin Akan   +3 more
doaj   +2 more sources

The Impact of Normalization Procedures on Surface Electromyography (sEMG) Data Integrity: A Study of Bicep and Tricep Muscle Signal Analysis. [PDF]

Sensors (Basel)
Fuentes Del Toro S, Aranda-Ruiz J.
europepmc   +2 more sources

Study on Flexible sEMG Acquisition System and Its Application in Muscle Strength Evaluation and Hand Rehabilitation

Micromachines, 2022
Wearable devices based on surface electromyography (sEMG) to detect muscle activity can be used to assess muscle strength with the development of hand rehabilitation applications.
Chang Liu, Jiuqiang Li, Senhao Zhang, Hongbo Yang, Kai Guo   +4 more
doaj   +1 more source

Auditory sEMG biofeedback for reducing muscle co‐contraction during pedaling

Physiological Reports, 2022
Muscle co‐contraction between the agonist and antagonist muscles often causes low energy efficiency or movement disturbances. Surface electromyography biofeedback (sEMG‐BF) has been used to train muscle activation or relaxation but it is unknown whether ...
Benio Kibushi, Junichi Okada
doaj   +1 more source

Estimation of the Continuous Pronation–Supination Movement by Using Multichannel EMG Signal Features and Kalman Filter: Application to Control an Exoskeleton

Frontiers in Bioengineering and Biotechnology, 2022
The Hill muscle model can be used to estimate the human joint angles during continuous movement. However, adopting this model requires the knowledge of many parameters, such as the length and speed of contraction of muscle fibers, which are liable to ...
Lei Zhang, Jingang Long, RongGang Zhao, Haoyang Cao, Kai Zhang   +4 more
doaj   +1 more source

Data captured using low-cost active electromyography

Data in Brief, 2020
Surface electromyography (sEMG) data was captured for three able-body subjects, from their right biceps brachii using the POLE sensor outlined in “Low-cost active electromyography” [1].
Benjamin C. Fortune, Christopher G. Pretty, Logan T. Chatfield, Lachlan R. McKenzie, Michael P. Hayes   +4 more
doaj   +1 more source

A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior. [PDF]

PLoS ONE, 2017
This study has described and experimentally validated the differential electrodes surface electromyography (sEMG) model for tibialis anterior muscles during isometric contraction. This model has investigated the effect of pennation angle on the simulated
Diptasree Maitra Ghosh, Dinesh Kumar, Sridhar Poosapadi Arjunan, Ariba Siddiqi, Ramakrishnan Swaminathan   +4 more
doaj   +1 more source

sEMG-Based Gain-Tuned Compliance Control for the Lower Limb Rehabilitation Robot during Passive Training

Sensors, 2022
The lower limb rehabilitation robot is a typical man-machine coupling system. Aiming at the problems of insufficient physiological information and unsatisfactory safety performance in the compliance control strategy for the lower limb rehabilitation ...
Junjie Tian, Hongbo Wang, Siyuan Zheng, Yuansheng Ning, Xingchao Zhang, Jianye Niu, Luige Vladareanu   +6 more
doaj   +1 more source