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Estimation of elbow flexion torque from anthropometric and NMES MMG variables using random forest regression.

作者信息

Uwamahoro Raphael, Sundaraj Kenneth, Feroz Farah Shahnaz

机构信息

Regional Centre of Excellence in Biomedical Engineering and E-Health, University of Rwanda, Kigali, Rwanda.

Fakulti Teknologi dan Kejuruteraan Elektronik dan Komputer, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia.

出版信息

Sci Rep. 2025 Mar 7;15(1):8038. doi: 10.1038/s41598-024-81504-w.

DOI:10.1038/s41598-024-81504-w
PMID:40055347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11889151/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/2d09069fb59f/41598_2024_81504_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/c8ba68010d88/41598_2024_81504_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/81a8b2e4a246/41598_2024_81504_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/7174426be668/41598_2024_81504_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/a590980fc66c/41598_2024_81504_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/3458eeb3cf80/41598_2024_81504_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/2d09069fb59f/41598_2024_81504_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/c8ba68010d88/41598_2024_81504_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/81a8b2e4a246/41598_2024_81504_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/7174426be668/41598_2024_81504_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/a590980fc66c/41598_2024_81504_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/3458eeb3cf80/41598_2024_81504_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2904/11889151/2d09069fb59f/41598_2024_81504_Fig6_HTML.jpg

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本文引用的文献

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2
Integration of Motor Unit Filters for Enhanced Surface Electromyogram Decomposition During Varying Force Isometric Contraction.在变力等长收缩过程中,通过整合运动单元滤波器来增强表面肌电图的分解。
IEEE Trans Neural Syst Rehabil Eng. 2024;32:2905-2913. doi: 10.1109/TNSRE.2024.3438770. Epub 2024 Aug 14.
3
Estimation of joint torque in dynamic activities using wearable A-mode ultrasound.
使用可穿戴式 A 型超声估计动态活动中的关节扭矩。
Nat Commun. 2024 Jul 9;15(1):5756. doi: 10.1038/s41467-024-50038-0.
4
BiLSTM-Based Joint Torque Prediction From Mechanomyogram During Isometric Contractions: A Proof of Concept Study.基于双向长短时记忆网络的等长收缩时肌电信号的联合扭矩预测:概念验证研究。
IEEE Trans Neural Syst Rehabil Eng. 2024;32:1926-1933. doi: 10.1109/TNSRE.2024.3399121. Epub 2024 May 20.
5
Design and validation of a wearable dynamometry system for knee extension-flexion torque measurement.可穿戴式测功计系统的设计与验证,用于膝关节屈伸扭矩测量。
Sci Rep. 2024 May 7;14(1):10428. doi: 10.1038/s41598-024-60985-9.
6
Effect of Forearm Postures and Elbow Joint Angles on Elbow Flexion Torque and Mechanomyography in Neuromuscular Electrical Stimulation of the Biceps Brachii.肱二头肌神经肌肉电刺激中前臂姿势和肘关节角度对肘屈肌力矩和肌电的影响。
Sensors (Basel). 2023 Sep 29;23(19):8165. doi: 10.3390/s23198165.
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