Feature extraction based on time-frequency and Independent Component Analysis for improvement of separation ability in Atrial Fibrillation detector

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 2960-2963

  Kostka, Pawel S ^a   Tkacz, Ewaryst J ^a  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

BIOELECTRIC PHENOMENA; CLASSIFICATION (OF INFORMATION); DISEASE CONTROL; DISEASES; ELECTROCARDIOGRAPHY; EXTRACTION; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

CLASSIFIER PERFORMANCE; ENERGY AND ENTROPIES; FAST WAVELET TRANSFORM; FEATURE EXTRACTION AND SELECTION; INDEPENDENT COMPONENT ANALYSIS(ICA); NONSTATIONARY SIGNALS; STRUCTURE CALCULATION; TIME-FREQUENCY SIGNAL REPRESENTATION;

BIOMEDICAL SIGNAL PROCESSING;

ACTION POTENTIAL; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DIAGNOSIS; ELECTROCARDIOGRAPHY; FACTUAL DATABASE; HEART ATRIUM FIBRILLATION; HUMAN; METHODOLOGY; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; THEORETICAL MODEL;

ACTION POTENTIALS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; ATRIAL FIBRILLATION; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY, AMBULATORY; HUMANS; MODELS, STATISTICAL; MODELS, THEORETICAL; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 61849120323     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4649824     Document Type: Conference Paper

References (13)

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