Analysis of HD-sEMG Signals Using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2020

Analysis of HD-sEMG Signals Using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing

Fichier non déposé

Dates et versions

hal-03585898 , version 1 (23-02-2022)

Identifiants

Citer

Swati Banerjee, Loubna Imrani, Kiyoka Kinugawa, Jeremy Laforet, Sofiane Boudaoud. Analysis of HD-sEMG Signals Using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing. Biomedical Engineering and Computational Intelligence, 32, Springer International Publishing, pp.83-92, 2020, Lecture Notes in Computational Vision and Biomechanics, ⟨10.1007/978-3-030-21726-6_8⟩. ⟨hal-03585898⟩
9 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More