Wavelet domain blind signal separation to analyze supraventricular arrhythmias from holter registers

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

Volumn 3195, Issue , 2004, Pages 1111-1117

  Sánchez, César ^a   Rieta, José Joaquín ^b   Castells, Francisco ^b   Alcaraz, Raúl ^a   Millet, José ^b  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRETE WAVELET TRANSFORMS; DISEASES; INDEPENDENT COMPONENT ANALYSIS; SIGNAL DETECTION; SIGNAL PROCESSING; WAVELET TRANSFORMS;

ATRIAL ACTIVITY; ATRIAL FIBRILLATION; BLIND SIGNAL SEPARATION; PAROXYSMAL ATRIAL FIBRILLATIONS; PROCESSING STAGE; SPECTRAL CONCENTRATIONS; SPECTRAL FEATURE; WAVELET DOMAIN;

BLIND SOURCE SEPARATION;

EID: 33745715321     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_140     Document Type: Article

References (8)

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8. Zibulesvsky M., Pearlmutter B.A., Blind Source Separation by Sparse Decomposition. Neural Computations 2001;13(4).