Classification of neuromuscular disorders using features extracted in the wavelet domain of sEMG signals: a case study
Crossref DOI link: https://doi.org/10.1007/s12553-016-0153-3
Published Online: 2016-12-08
Published Print: 2017-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Barmpakos, Dimitrios
Kaplanis, Prodormos
Karkanis, Stavros A.
Pattichis, Constantinos
License valid from 2016-12-08