Continuous and simultaneous estimation of lower limb multi-joint angles from sEMG signals based on stacked convolutional and LSTM models-Reference-Cited by-同舟云学术

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Continuous and simultaneous estimation of lower limb multi-joint angles from sEMG signals based on stacked convolutional and LSTM models

Published:2022-10 Issue: Volume:203 Page:117340
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lu Yanzheng,Wang Hong,Zhou Bin,Wei Chunfeng,Xu Shiqiang

Funder

China Scholarship Council

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference59 articles.

1. A nonlinear dynamics-based estimator for functional electrical stimulation: preliminary results from lower-leg extension experiments;Allen;IEEE Transactions on Neural Systems and Rehabilitation Engineering,2017

2. Human lower extremity joint moment prediction: A wavelet neural network approach;Ardestani;Expert Systems with Applications,2014

3. A review on EMG-based motor intention prediction of continuous human upper limb motion for human–robot collaboration;Bi;Biomedical Signal Processing and Control,2019

4. Inverted pendulum model for turn-planning for biped robot;Chang;Physical Communication,2020

5. Surface EMG based continuous estimation of human lower limb joint angles by using deep belief networks;Chen;Biomedical Signal Processing and Control,2018

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4. Adaptive modeling of systems with uncertain dynamics via continuous long-short term memories;Neurocomputing;2024-09

5. SCTNET: Shifted Windows and Convolution Layers Transformer for Continuous Angle Estimation of Finger Joints Using sEMG;IEEE Sensors Journal;2024-08-15

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