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Titolo:
The use of the Hilbert transform in ECG signal analysis
Autore:
Benitez, D; Gaydecki, PA; Zaidi, A; Fitzpatrick, AP;
Indirizzi:
Univ Manchester, Inst Sci & Technol, Dept Instrumentat & Analyt Sci, Manchester M60 1QD, Lancs, England Univ Manchester Manchester Lancs England M601QD M60 1QD, Lancs, England Manchester Royal Infirm, Manchester Heart Ctr, Manchester M13 9WL, Lancs, England Manchester Royal Infirm Manchester Lancs England M13 9WL , Lancs, England
Titolo Testata:
COMPUTERS IN BIOLOGY AND MEDICINE
fascicolo: 5, volume: 31, anno: 2001,
pagine: 399 - 406
SICI:
0010-4825(200109)31:5<399:TUOTHT>2.0.ZU;2-K
Fonte:
ISI
Lingua:
ENG
Soggetto:
QRS; FILTER;
Keywords:
ECG signal detection; Hilbert transform; artifacts; electrocardiography;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Gaydecki, PA Univ Manchester, Inst Sci & Technol, Dept Instrumentat & Analyt Sci, POB 88, Manchester M60 1QD, Lancs, England Univ Manchester POB 88 Manchester Lancs England M60 1QD gland
Citazione:
D. Benitez et al., "The use of the Hilbert transform in ECG signal analysis", COMPUT BIOL, 31(5), 2001, pp. 399-406

Abstract

This paper presents a new robust algorithm for QRS detection using the first differential of the ECG signal and its Hilbert transformed data to locate the R wave peaks in the ECG waveform. Using this method, the differentiation of R waves from large, peaked T and P waves is achieved with a high degree of accuracy. In addition, problems with baseline drift, motion artifacts and muscular noise are minimised. The performance of the algorithm was tested using standard ECG waveform records from the MIT-BITH Arrhythmia database, An average detection rate of 99.87%, a sensitivity (Se) of 99.94% and a positive prediction (+P) of 99.93% have been achieved against study records from the MIT-BITH Arrhythmia database. A detection error rate of less than 0.8% was achieved in every study case. The reliability of the proposed detector compares very favorably with published results for other QRS detectors. (C) 2001 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 01/12/20 alle ore 22:36:15