Deep Learning Models Optimization for Gait Phase Identification from EMG Data During Exoskeleton-Assisted Walking

Exoskeletons are a fast-growing technology that enables multiple use-cases in clinical scenarios. They can be useful tools for the rehabilitation of patients with motor dysfunctions caused by neurological conditions, aging or trauma. Assistive exoskeletons modulate the torque exerted by the electric...

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主要な著者:	Roberto Soldi, Bruna Maria Vittoria Guerra, Stefania Sozzi, Leo Russo, Serena Pizzocaro, Renato Baptista, Alessandro Marco De Nunzio, Micaela Schmid, Stefano Ramat
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-09-01
シリーズ:	Biomimetics
主題:	gait analysis sEMG exoskeleton deep learning hyperparameter tuning
オンライン･アクセス:	https://www.mdpi.com/2313-7673/10/9/617
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