Continuous estimation of joint angle from electromyography using multiple time-delayed features and random forests-Reference-Cited by-同舟云学术

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Continuous estimation of joint angle from electromyography using multiple time-delayed features and random forests

Published:2018-01 Issue: Volume:39 Page:303-311
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Xiao Feiyun,Wang Yong,Gao Yongsheng,Zhu Yanhe,Zhao Jie

Funder

Nuclear Science Foundation of China

Major Research Plan

Foundation for Innovative Research Groups

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference43 articles.

1. A new control method for power-assisted wheelchair based on the surface myoelectric signal;Oonishi;IEEE Trans. Ind. Electron,2010

2. Optimal feedback control for predicting dynamic stiffness during arm movement;Ueyama;IEEE Trans. Ind. Electron.,2014

3. Movement error rate for evaluation of machine learning methods for sEMGbased hand movement classification;Gijsberts;IEEE Trans. Neural. Syst. Rehabil. Eng.,2014

4. A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study;Takahashi;J. Neuro. Eng. Rehabil.,2015

5. Application of a self-enhancing classification method to electromyography pattern recognition for multifunctional prosthesis control;Chen;J. Neuroeng. Rehabil.,2013

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1. Use of a wearable electromyography armband to detect lift-lower tasks and classify hand loads;Applied Ergonomics;2024-09

2. Comparing the efficiency of recurrent neural networks to EMG-based continuous estimation of the elbow angle;Neural Computing and Applications;2024-07-29

3. Enhanced Joint Angle Estimation Using Support Vector Machine-Long Short-Term Memory Fusion with Electromyography Signals;2024 American Control Conference (ACC);2024-07-10

4. Knee Angle Estimation from Surface EMG during Walking Using Attention-Based Deep Recurrent Neural Networks: Feasibility and Initial Demonstration in Cerebral Palsy;Sensors;2024-06-28

5. Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier;Journal of Engineering Research and Sciences;2024-04

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