Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction

Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction

Abnormal gaits including pelvic obliquity gait and knee hyperextension gait are common clinical symptoms related to flat-ground fall among elder adults. This study aimed to determine the feasibility of using lower limb myoelectrical signals (electromyographic signals, EMG) for gait pattern recogniti...

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Bibliographic Details
Main Authors: Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Medicine in Novel Technology and Devices
Subjects:
Myoelectrical signal (EMG)
Machine learning
Deep learning
Gait
Pattern recognition
Online Access:http://www.sciencedirect.com/science/article/pii/S2590093524000572
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