Fall-related gait pattern recognition based on surface electromyography using a hybrid neural network with transfer learning-Reference-Cited by-同舟云学术

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Fall-related gait pattern recognition based on surface electromyography using a hybrid neural network with transfer learning

Published:2024-12 Issue: Volume:98 Page:106771
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhang Shuo^ORCID,Qi Jin^ORCID,Hao Sheng^ORCID,Wu Duidi^ORCID,Zhao Qianyou^ORCID,Chen Biao,Hu Jie

Publisher

Elsevier BV

Reference55 articles.

1. Gait disorders;Baker;Am. J. Med.,2018

2. Validity and reproducibility of inertial physilog sensors for spatiotemporal gait analysis in patients with stroke;Lefeber;IEEE Trans. Neural Syst. Rehabil. Eng.,2019

3. Gait analysis in Parkinson’s disease: An overview of the most accurate markers for diagnosis and symptoms monitoring;Di Biase;Sensors,2020

4. Gait and cognitive declines in dementia—Double or nothing;Verghese;JAMA Netw. Open,2022

5. An image-based kinematic model of the tibiotalar and subtalar joints and its application to gait analysis in children with Juvenile Idiopathic Arthritis;Montefiori;J. Biomech.,2019

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