An innovative approach of QRS segmentation based on first-derivative, Hilbert and Wavelet Transforms

Medical Engineering and Physics

Volumn 34, Issue 9, 2012, Pages 1236-1246

  Madeiro, João P V ^a   Cortez, Paulo C ^a   Marques, João A L ^b   Seisdedos, Carlos R V ^c   Sobrinho, Carlos R M R ^a  

^a FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

^b University Lusiada of Angola   (Angola)

^c UNIVERSIDAD DE ORIENTE   (Cuba)

Author keywords

ECG envelope; Electrocardiogram (ECG); False negative (FN); False positive (FP); Hilbert Transform (HT); Interval Between Beats (IBB); QRS complex; Surface indicator; Wavelet Transform (WT)

Indexed keywords

FALSE NEGATIVES; FALSE POSITIVE; HILBERT TRANSFORM; INTERVAL BETWEEN BEATS (IBB); QRS COMPLEXES;

ALGORITHMS; DATABASE SYSTEMS; FEATURE EXTRACTION; RELIABILITY ANALYSIS; WAVELET TRANSFORMS;

ELECTROCARDIOGRAPHY;

ACCURACY; ALGORITHM; ARTICLE; CLASSIFICATION; COMPUTER SIMULATION; DIGITAL FILTERING; FIRST DERIVATIVE; HEART ARRHYTHMIA; HILBERT TRANSFORM; MATHEMATICAL ANALYSIS; PREDICTIVE VALUE; PRIORITY JOURNAL; QRS COMPLEX; SENSITIVITY AND SPECIFICITY; SIGNAL DETECTION; SIGNAL PROCESSING; WAVELET TRANSFORM;

ALGORITHMS; ELECTROCARDIOGRAPHY; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; SIGNAL PROCESSING, COMPUTER-ASSISTED; WAVELET ANALYSIS;

EID: 84867217770     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2011.12.011     Document Type: Article

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