sEMG-based consecutive estimation of human lower limb movement by using multi-branch neural network-Reference-Cited by-同舟云学术

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sEMG-based consecutive estimation of human lower limb movement by using multi-branch neural network

Published:2021-07 Issue: Volume:68 Page:102781
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Wang Xingjian,Dong Dengpeng,Chi Xiaokai,Wang Shaoping,Miao Yinan,An Mailing,Gavrilov Alexander I.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference48 articles.

1. State of the art and future directions for lower limb robotic exoskeletons;Young;IEEE Trans. Neural Syst. Rehabil. Eng.,2016

2. Gait phase detection and discrimination between walking-jogging activities using hidden Markov models applied to foot motion data from a gyroscope;Mannini;Gait Posture,2012

3. The biomechanics of walking and running;Ounpuu;Clin. Sports Med.,1994

4. Gait detection in children with and without hemiplegia using single-axis wearable gyroscopes;Abaid;PLOS ONE,2013

5. Quantitative estimation of foot-flat and stance phase of gait using foot-worn inertial sensors;Mariani;Gait Posture,2013

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