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

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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Bibliographic Details
Main Authors: Francesco Di Nardo, Christian Morbidoni, Guido Mascia, Federica Verdini, Sandro Fioretti
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BioMedical Engineering OnLine
Subjects:
Surface EMG
Machine learning
Neural networks
Gait-phase classification
Ground walking
Intra-subject data
Online Access:http://link.springer.com/article/10.1186/s12938-020-00803-1

Internet

http://link.springer.com/article/10.1186/s12938-020-00803-1

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