Block Sparse Compressed Sensing of Electroencephalogram (EEG) Signals by Exploiting Linear and Non-Linear Dependencies

This paper proposes a compressive sensing (CS) method for multi-channel electroencephalogram (EEG) signals in Wireless Body Area Network (WBAN) applications, where the battery life of sensors is limited. For the single EEG channel case, known as the single measurement vector (SMV) problem, the Block...

Descripción completa

Detalles Bibliográficos
Autores principales: Mahrous, Hesham, Ward, Rabab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794742/
https://www.ncbi.nlm.nih.gov/pubmed/26861335
http://dx.doi.org/10.3390/s16020201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794742/
https://www.ncbi.nlm.nih.gov/pubmed/26861335
http://dx.doi.org/10.3390/s16020201

Ejemplares similares