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Titolo:
An arrhythmia detector and heart rate estimator for overnight polysomnography studies
Autore:
Bartolo, A; Clymer, BD; Burgess, RC; Turnbull, JP; Golish, JA; Perry, MC;
Indirizzi:
Ohio State Univ, Ctr Biomed Engn, Columbus, OH 43210 USA Ohio State Univ Columbus OH USA 43210 Biomed Engn, Columbus, OH 43210 USA Cleveland Clin Fdn, Dept Neurol, Cleveland, OH 44195 USA Cleveland Clin Fdn Cleveland OH USA 44195 Neurol, Cleveland, OH 44195 USA Ohio State Univ, Dept Elect Engn, Columbus, OH 43210 USA Ohio State Univ Columbus OH USA 43210 Elect Engn, Columbus, OH 43210 USA Cleveland Clin Fdn, Dept Pulm & Crit Care Med, Cleveland, OH 44195 USA Cleveland Clin Fdn Cleveland OH USA 44195 re Med, Cleveland, OH 44195 USA
Titolo Testata:
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
fascicolo: 5, volume: 48, anno: 2001,
pagine: 513 - 521
SICI:
0018-9294(200105)48:5<513:AADAHR>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
SLEEP; TIME;
Keywords:
arrhythmia detection; automatic ECG analysis; heart rate estimation; MIT-BIH arrhythmia database; polysomnography; QRS detection; signal quality monitoring; sleep; weighted cross-correlation coefficient;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Engineering, Computing & Technology
Citazioni:
12
Recensione:
Indirizzi per estratti:
Indirizzo: Bartolo, A Univ New Mexico, Dept Neurol, 915 Camino Salud NE, Albuquerque,NM 87131 USA Univ New Mexico 915 Camino Salud NE Albuquerque NM USA 87131 SA
Citazione:
A. Bartolo et al., "An arrhythmia detector and heart rate estimator for overnight polysomnography studies", IEEE BIOMED, 48(5), 2001, pp. 513-521

Abstract

We present an algorithm for automatic on-line analysis of the electrocardiography (ECG) channel acquired during overnight polysomnography (PSG) studies. The system is independent of ECG morphology, requires no manual initialization, and operates automatically throughout the night. It highlights likely occurrences of arrhythmias and intervals of bad signal quality while outputting a continual estimate of heart rate. Algorithm performance is validated against standard ECG databases and PSG data. Results demonstrate a minimal false negative rate and a low false positive rate for arrhythmia detection, and robustness over a wide range of noise contamination.

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Documento generato il 16/07/20 alle ore 06:35:17