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dc.contributor.authorHuang, Teng-chiehen_US
dc.contributor.authorChen, Hsiao-yuen_US
dc.contributor.authorFang, Wai-Chien_US
dc.date.accessioned2014-12-08T15:30:05Z-
dc.date.available2014-12-08T15:30:05Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-0219-7en_US
dc.identifier.issn0271-4302en_US
dc.identifier.urihttp://hdl.handle.net/11536/21555-
dc.description.abstractIt 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.en_US
dc.language.isoen_USen_US
dc.titleReal-Time Obstructive Sleep Apnea Detection Based on ECG Derived Respiration Signalen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012)en_US
dc.citation.spage341en_US
dc.citation.epage344en_US
dc.contributor.department電機學院zh_TW
dc.contributor.departmentCollege of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000316903700084-
Appears in Collections:Conferences Paper