Optimal delineation of ambulatory holter ECG events via false-alarm bounded segmentation of a wavelet-based principal components analyzed decision statistic

Cardiovascular Engineering

Volumn 10, Issue 3, 2010, Pages 136-156

  Homaeinezhad, M R ^a   Ghaffari, A ^a   Toosi, H Najjaran ^a   Tahmasebi, M ^b   Daevaeiha, M M ^c  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b Holy City Qom   (Iran)

^c Day General Hospital   (Iran)

Author keywords

Curve length; Discrete wavelet transform; ECG detection delineation; False alarm probability; Hilbert transform; Multi lead analysis; Neyman Pearson hypothesis test; Principal component analysis; Variance

Indexed keywords

ALARM MONITOR; AMBULATORY MONITORING; ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; DIAGNOSTIC ACCURACY; HEART BUNDLE BRANCH BLOCK; HEART VENTRICLE EXTRASYSTOLE; HOLTER MONITORING; HUMAN; MATHEMATICAL COMPUTING; MEASUREMENT ERROR; P WAVE; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PROCESS OPTIMIZATION; QRS COMPLEX; SENSITIVITY ANALYSIS; SIGNAL NOISE RATIO; SUPRAVENTRICULAR PREMATURE BEAT; T WAVE;

ALGORITHMS; ARRHYTHMIAS, CARDIAC; DATA INTERPRETATION, STATISTICAL; DECISION SUPPORT TECHNIQUES; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY, AMBULATORY; HUMANS; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; WAVELET ANALYSIS;

EID: 77958477930     PISSN: 15678822     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10558-010-9103-2     Document Type: Article

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