Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals

Abstract Background Machine learning models were satisfactorily implemented for estimating gait events from surface electromyographic (sEMG) signals during walking. Most of them are based on inter-subject approaches for data preparation. Aim of the study is to propose an intra-subject approach for b...

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Библиографические подробности

Главные авторы:	Francesco Di Nardo, Christian Morbidoni, Guido Mascia, Federica Verdini, Sandro Fioretti
Формат:	Artigo
Язык:	Inglês
Опубликовано:	BMC 2020-07-01
Серии:	BioMedical Engineering OnLine
Предметы:	Surface EMG Machine learning Neural networks Gait-phase classification Ground walking Intra-subject data
Online-ссылка:	http://link.springer.com/article/10.1186/s12938-020-00803-1
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