Quantifying the feasibility of compressive sensing in portable electroencephalography systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5638 LNAI, Issue , 2009, Pages 319-328

  Abdulghani, Amir M ^a   Casson, Alexander J ^a   Rodriguez Villegas, Esther ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Compressive sensing; Electroencephalogram; Power efficient; Wireless systems

Indexed keywords

AUGMENTED COGNITION; EASE OF USE; MULTIPLE ELECTRODES; ONLINE DATA; POWER EFFICIENT; POWER SAVINGS; SYSTEM MODELING; WIRELESS SYSTEMS;

COGNITIVE SYSTEMS; DATA REDUCTION; SIGNAL RECONSTRUCTION;

ELECTROENCEPHALOGRAPHY;

EID: 77952003811     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02812-0_38     Document Type: Conference Paper

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