Real-time isometric finger extension force estimation based on motor unit discharge information.

Y. Zheng; X. Hu

DOI:10.1088/1741-2552/ab2c55

Corpus ID: 195356505

Real-time isometric finger extension force estimation based on motor unit discharge information.

@article{Zheng2019RealtimeIF,
  title={Real-time isometric finger extension force estimation based on motor unit discharge information.},
  author={Y. Zheng and X. Hu},
  journal={Journal of neural engineering},
  year={2019}
}

Y. Zheng, X. Hu

Published 2019

Mathematics, Medicine

Journal of neural engineering

OBJECTIVE The goal of this study was to perform real-time estimation of isometric finger extension force using discharge information of motor units (MUs). Approach: A real-time electromyogram (EMG) decomposition method based on the fast independent component analysis (FastICA) algorithm was developed to extract MU discharge events from high-density (HD) EMG recordings. The decomposition was first performed offline during an initialization period, and the obtained separation matrix was then… CONTINUE READING

View on PubMed

Share This Paper

8 Citations

Background Citations

Methods Citations

Results Citations

Figures and Topics from this paper

Figures

Finger Joint Angle Estimation Based on Motoneuron Discharge Activities

Chenyun Dai, X. Hu
Mathematics, Computer Science
IEEE Journal of Biomedical and Health Informatics
2020

Dexterous Force Estimation during Finger Flexion and Extension Using Motor Unit Discharge Information

Yang Zheng, X. Hu
Computer Science, Medicine
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2020

Muscle Force Estimation Based on Neural Drive Information From Individual Motor Units

X. Zhang, Ge Zhu, M. Chen, X. Chen, Xiang Chen, P. Zhou
Mathematics, Medicine
IEEE Transactions on Neural Systems and Rehabilitation Engineering
2020

Real-time finger force prediction via parallel convolutional neural networks: a preliminary study

F. Xu, Yang Zheng, X. Hu
Computer Science, Medicine
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2020

Adaptive Real-Time Identification of Motor Unit Discharges From Non-Stationary High-Density Surface Electromyographic Signals

Chen Chen, Shihan Ma, Xinjun Sheng, D. Farina, X. Zhu
Computer Science, Medicine
IEEE Transactions on Biomedical Engineering
2020

Hybrid Encoder-Decoder Deep Networks for Decoding Neural Drive Information towards Precise Muscle Force Estimation*

X. Tang, M. Chen, X. Chen, X. Chen, Xin Zhang
Computer Science, Medicine
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2020