Real-Time Obstructive Sleep Apnea Detection Based on ECG Derived Respiration Signal

被引：0

作者：

Huang, Teng-chieh ^{[1
]}

Chen, Hsiao-yu

Fang, Wai-Chi

机构：

[1] Natl Chiao Tung Univ, System On Chip Res Ctr, Dept Elect Engn, Hsinchu, Taiwan

来源：

2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012) | 2012年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

It is known that ECG signal are strongly affected by the chest motion of respiration. We utilize this property and derive a respiration related signal with respect to the change of R wave area, and then match the derived signal to the time axis. We discovered that during the apnea section, a lower frequency component compared to the respiration frequency is observed. With the presence and absence of this lower frequency modulation on the ECG signal, we propose a real-time detection method to differentiate the apnea section and normal breathing section in the duration of sleep.

引用

页码：341 / 344

页数：4

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