Near-lossless multichannel EEG compression based on matrix and tensor decompositions

IEEE Journal of Biomedical and Health Informatics

Volumn 17, Issue 3, 2013, Pages 708-714

  Dauwels, Justin ^a   Srinivasan, K ^a   Reddy, M Ramasubba ^b   Cichocki, Andrzej ^c,d  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b INDIAN INSTITUTE OF TECHNOLOGY MADRAS   (India)

^c RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^d SYSTEMS RESEARCH INSTITUTE   (Poland)

Author keywords

Arithmetic coding; Compression; Electroencephalogram (EEG); Multichannel EEG; Parallel factor decomposition (PARAFAC); Singular value decomposition (SVD)

Indexed keywords

COMPACTION; DIGITAL ARITHMETIC; SINGULAR VALUE DECOMPOSITION;

ARITHMETIC CODING; ELECTRO-ENCEPHALOGRAM (EEG); MAXIMUM ABSOLUTE ERROR; MULTICHANNEL EEG; MULTICHANNEL ELECTROENCEPHALOGRAMS; NEAR LOSSLESS COMPRESSION; PARAFAC; TEMPORAL AND SPATIAL CORRELATION;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ELECTROENCEPHALOGRAPHY; EQUIPMENT; HUMAN; METHODOLOGY; SIGNAL PROCESSING;

ALGORITHMS; ELECTROENCEPHALOGRAPHY; HUMANS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84885089037     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2012.2230012     Document Type: Article

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