Real-time obstructive sleep apnea detection based on ECG derived respiration signal

Teng Chieh Huang*, Hsiao Yu Chen, Wai-Chi Fang

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Pages341-344
Number of pages4
DOIs
StatePublished - 28 Sep 2012
Event2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, Korea, Republic of
Duration: 20 May 201223 May 2012

Conference

Conference2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
CountryKorea, Republic of
CitySeoul
Period20/05/1223/05/12

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