Detection and screening of sleep apnea using spectral and time domain analysis of heart rate variability

被引：0
|
作者：
Lawabni, AE [1 ]
Tewfik, AH [1 ]
机构：
[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
来源：
2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SPEECH II; INDUSTRY TECHNOLOGY TRACKS; DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS; NEURAL NETWORKS FOR SIGNAL PROCESSING | 2003年
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D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Sleep apnea syndrome (SAS) is one of the most common breathing related sleep disorder. Sleep apnea (SA) may be of particular concern in chronic heart failure patients due to its high levels of cardiovascular morbidity and mortality. The aim of this work was to assess the diagnostic potential of SA using spectral analysis of nocturnal heart rate, and to introduce new simple time domain heart rate variability (HRV) measures for screening SA. Data subjects supplied by the Physionet database [1] were analyzed. The preliminary results established the effectiveness of the spectral algorithm as a potential detection tool for SA with p<0.0001, and demonstrated the usefulness of the new proposed time domain parameters.
引用
收藏
页码：373 / 376
页数：4
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