Automatic classification of sleep apnea epochs using the electrocardiogram

被引：42
|
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
收藏
页码：745 / 748
页数：4
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