Finger Force Estimation Using Motor Unit Discharges Across Forearm Postures-Reference-Cited by-同舟云学术

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Finger Force Estimation Using Motor Unit Discharges Across Forearm Postures

Published:2022-09 Issue:9 Volume:69 Page:2767-2775
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Rubin Noah¹^ORCID,Zheng Yang²^ORCID,Huang He¹^ORCID,Hu Xiaogang³^ORCID

Affiliation:

1. Joint Department of Biomedical Engineering, University of North Carolina-Chapel Hill, USA

2. Institute of Engineering and Medicine Interdisciplinary Studies, School of Mechanical Engineering, Xi'an Jiaotong University, China

3. Joint Department of Biomedical Engineering, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

https://ieeexplore.ieee.org/ielam/10/9863423/9721578-aam.pdf

Reference65 articles.

1. Finger Joint Angle Estimation Based on Motoneuron Discharge Activities

2. Estimation of Muscle Force Based on Neural Drive in a Hemispheric Stroke Survivor

3. The effects of posture on forearm muscle loading during gripping

4. Postural Dependence of Muscle Actions: Implications for Neural Control

5. Quantification and solutions of arm movements effect on sEMG pattern recognition

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating muscle force based on a neuromuscular decoding approach adaptive to fatigue conditions;Biomedical Signal Processing and Control;2024-12

2. Unsupervised Decoding of Multi-Finger Forces Using Neuronal Discharge Information with Muscle Co-Activations;2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS);2024-05-15

3. Prediction of Dexterous Finger Forces With Forearm Rotation Using Motoneuron Discharges;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

4. Continuous Motion Intention Prediction Using sEMG for Upper-Limb Rehabilitation: A Systematic Review of Model-Based and Model-Free Approaches;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

5. Decoding Multi-DoF Movements Using a CST-Based Force Generation Model With Single-DoF Training;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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