Automatic classification of sleep apnea epochs using the electrocardiogram

被引：43

作者：

de Chazal, P ^{[1
]}

Heneghan, C ^{[1
]}

Sheridan, E ^{[1
]}

Reilly, R ^{[1
]}

Nolan, P ^{[1
]}

O'Malley, M ^{[1
]}

机构：

[1] Univ Coll Dublin, Dublin 2, Ireland

来源：

COMPUTERS IN CARDIOLOGY 2000, VOL 27 | 2000年 / 27卷

关键词：

D O I：

10.1109/CIC.2000.898632

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

This study investigated the automatic prediction of epochs of sleep apnea from the electrocardiogram. A large independently validated database of 70 single lead ECGs, each of approximately 8 hours in duration, was used throughout the study. Thirty five of these records were used for training and 35 retained for independent testing. After considering a wide variety of features we found that features based on the power spectral density estimates of the R-wave maxima and R-R intervals to be the most discriminating. Results show that a classification rate of approximately 89% is achievable.

引用

页码：745 / 748

页数：4

共 8 条

[1]

Camm AJ, 1996, EUR HEART J, V17, P354

[2] COMPARING SPECTRA OF A SERIES OF POINT EVENTS PARTICULARLY FOR HEART-RATE-VARIABILITY DATA [J].