Denoising of Ictal EEG Data Using Semi-Blind Source Separation Methods Based on Time-Frequency Priors

Medientyp: E-Artikel
Titel: Denoising of Ictal EEG Data Using Semi-Blind Source Separation Methods Based on Time-Frequency Priors
Beteiligte: Hajipour Sardouie, Sepideh; Shamsollahi, Mohammad Bagher; Albera, Laurent; Merlet, Isabelle
Erschienen: Institute of Electrical and Electronics Engineers (IEEE), 2015
Erschienen in: IEEE Journal of Biomedical and Health Informatics
Sprache: Nicht zu entscheiden
DOI: 10.1109/jbhi.2014.2336797
ISSN: 2168-2194; 2168-2208
Schlagwörter: Health Information Management ; Electrical and Electronic Engineering ; Computer Science Applications ; Biotechnology
Entstehung:
Anmerkungen:

Nur in Feld suchen: