Results 231 to 240 of about 37,674 (252)

Design of sEMG-detecting circuit for EMG-Bridge

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
A surface electromyography (sEMG) signal typically results from the electrical activities of many muscle fibers, and can be utilized as a signal source in prostheses due to its abundance of movement information. This paper proposes an sEMG-detection circuit for the acquisition of the controlling signal in EMG-Bridge (EMGB) systems.
, Xiao-Bin Chen, , Yu-Xuan Zhou, , Hai-Peng Wang, , Xiao-Ying Lu, , Zhi-Gong Wang   +4 more
openaire   +2 more sources

Neuropathology Considerations: Clinical and SEMG/Biofeedback Applications

Applied Psychophysiology and Biofeedback, 2003
SEMG investigation protocols are described within the neurological framework. A neuroanatomic pathway is utilized including muscular disease, neuromuscular junction conditions, peripheral neuropathy, radiculopahy, myleopathy, brainstem disorders, cerebellar disorders, subcortical and cortical disease.
openaire   +2 more sources

Implementation of sEMG-based robotic hand

2014 IEEE 4th International Conference on System Engineering and Technology (ICSET), 2014
This paper describes utilization of surface electromyography (sEMG) identification for driving robotic hand. Therefore, this implementation will give other alternatives to the stroke survivors or paralysis patients in order to help their activities. This system detecs the movement of two fingers (thumb and index finger) by using threshold as pattern ...
Reza Darmakusuma, Ary S. Prihatmanto, Adi Indrayanto, Tati L. Mengko   +3 more
openaire   +1 more source

sEMG-Based Lower Limb Motion Prediction Using CNN-LSTM with Improved PCA Optimization Algorithm

Journal of Bionic Engineering, 2022
Meng Zhu, Xiaorong Guan, Zhong Li, Long He, Zheng Wang, Keshu Cai   +5 more
semanticscholar   +1 more source

Development of recommendations for SEMG sensors and sensor placement procedures.

Journal of Electromyography & Kinesiology, 2000
H. Hermens, B. Freriks, C. Disselhorst-Klug, G. Rau   +3 more
semanticscholar   +1 more source

Movements Classification Through sEMG With Convolutional Vision Transformer and Stacking Ensemble Learning

IEEE Sensors Journal, 2022
Shu Shen, Xuebin Wang, Fan Mao, Lijuan Sun, Minghui Gu   +4 more
semanticscholar   +1 more source

Lower Limb Motion Intention Recognition Based on sEMG Fusion Features

IEEE Sensors Journal, 2022
Zhang Peng, Zhang Junxia, Ahmed Mohamed Moneeb Elsabba   +2 more
semanticscholar   +1 more source

Time-frequency Features for sEMG Signals Classification

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, 2020
Karheily, S, Moukadem, Ali, Courbot, Jean-Baptiste, Ould Abdeslam, Djafar   +3 more
openaire   +1 more source

sEMG-Based Motion Recognition

2018
Qingsong Ai, Quan Liu, Wei Meng, Sheng Quan Xie   +3 more
openaire   +1 more source

Unraveling Cemg-Semg Correlation Dynamics: Investigating Influential Factors

The electromyography (EMG) signal provides insight into neuromuscular activity which is used in medical and technological fields. Traditional needle electrodes and surface electrodes have several drawbacks making them less suitable for portable and long-term use.
Md. Hossain, Md. Islam, Md. Islam
openaire   +1 more source