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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Francesco Di Nardo, Christian Morbidoni, Guido Mascia, Federica Verdini, Sandro Fioretti
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	BMC 2020-07-01
سلاسل:	BioMedical Engineering OnLine
الموضوعات:	Surface EMG Machine learning Neural networks Gait-phase classification Ground walking Intra-subject data
الوصول للمادة أونلاين:	http://link.springer.com/article/10.1186/s12938-020-00803-1
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!