SSA-LSTM-based locomotion mode recognition algorithm for the control of powered hip disarticulation prostheses

•Motion-pattern recognition for hip prostheses is investigated.•SSA-LSTM algorithm stabilises and refines single-hip-gait-pattern classification.•Dataset validation achieves over 99 % accuracy for healthy subjects and 96.4 % for hip amputees. Accurate recognition of locomotion modes is essential for...

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Bibliographic Details

Published in:	Biomedical signal processing and control Vol. 112; p. 108583
Main Authors:	Meng, Qiaoling, Sun, Zhenkun, Zhao, Jing, Castelli, Vincenzo Parenti, Yu, Hongliu
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2026
Subjects:	Hip amputation Locomotion mode recognition Long short-term memory (LSTM) Lower limb prosthesis Sparrow search algorithm (SSA) Sparrow search algorithm (SSA) Hip amputation Long short-term memory (LSTM) Locomotion mode recognition Lower limb prosthesis
ISSN:	1746-8094
Online Access:	Get full text
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