ECG data-acquisition and classification system by using Wavelet-domain Hidden Markov Models

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Volumn , Issue , 2010, Pages 4670-4673

  Gomes, Pedro R ^a   Soares, Filomena O ^b   Correia, J H ^b   Lima, C S ^b  

^a Faculty of Engineering   (Portugal)

^b UNIVERSITY OF MINHO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ATRIAL FIBRILLATION; ATRIAL FLUTTER; CLASSIFICATION ERRORS; CLASSIFICATION SYSTEM; CONTINUOUS DENSITY HIDDEN MARKOV MODELS; COST DATA; ECG DATA; ECG SIGNALS; PREMATURE VENTRICULAR CONTRACTION; RUNTIMES; STATE OF THE ART; VENTRICULAR ARRHYTHMIAS; WAVELET DOMAIN HIDDEN MARKOV MODELS;

ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; SPEECH RECOGNITION; WAVELET TRANSFORMS;

HIDDEN MARKOV MODELS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ELECTROCARDIOGRAPHY; HEART ARRHYTHMIA; HUMAN; METHODOLOGY; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; WAVELET ANALYSIS;

ALGORITHMS; ARRHYTHMIAS, CARDIAC; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; WAVELET ANALYSIS;

EID: 78650813562     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2010.5626456     Document Type: Conference Paper

References (13)

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