Ranking of pattern recognition parameters for premature ventricular contractions classification by neural networks

Physiological Measurement

Volumn 25, Issue 5, 2004, Pages 1281-1290

  Christov, I ^a   Bortolan, G ^b  

^a CENTRE OF BIOMEDICAL ENGINEERING   (Bulgaria)

^b CNR   (Italy)

Author keywords

Neural networks; Premature ventricular contraction classification; QRS recognition

Indexed keywords

CARDIOLOGY; COMPLEX NETWORKS; DISEASES; PATIENT MONITORING; PATTERN RECOGNITION;

BEAT DETECTION; CLUSTERINGS; CRITICAL CARE; NEURAL-NETWORKS; PARAMETER GROUPS; PREMATURE VENTRICULAR CONTRACTION; PREMATURE VENTRICULAR CONTRACTION CLASSIFICATION; QRS COMPLEXES; QRS RECOGNITION; VECTORCARDIOGRAM;

ELECTROCARDIOGRAPHY;

AMPLITUDE MODULATION; AMPLITUDE MODULATOR; ARTICLE; ARTIFICIAL NEURAL NETWORK; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; ELECTROCARDIOGRAPHY; ELECTROCARDIOGRAPHY MONITORING; HEART ARRHYTHMIA; HEART VENTRICLE EXTRASYSTOLE; INTERMETHOD COMPARISON; OPERATING ROOM; PATTERN RECOGNITION; PRIORITY JOURNAL; QRS COMPLEX; QUANTITATIVE ANALYSIS; VECTORCARDIOGRAPHY;

EID: 7044263116     PISSN: 09673334     EISSN: None     Source Type: Journal    
DOI: 10.1088/0967-3334/25/5/017     Document Type: Article

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