Presentation 2005-06-17
Sleep Apnea Syndrome detection based on heart rate variability analysis
Shintaro TAKATSUKA, Shun MURABAYASHI, Yoshinori MITAMURA,
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Abstract(in English) We present a new algorithm to detect Sleep Apnea easier from spectrum analysis of heart rate fluctuation. This algorithm aplied fitting sinusoid is a method of transformation from Respiratory Sinus Arrhythmia of R-R interval into respiration intervals. The respiration intervals calculated by this method were corresponded well with the subject of healthy and Sleep Apnea Syndrome. The proposed analytical method in this study showed the possibility of Sleep Apnea detection.
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Keyword(in English) heart rate variability / respiration intervals detection / Sleep Apnea Syndrom / Sleep Apnea detection / fitting sinusoids
Paper # MBE2005-13
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Committee MBE
Conference Date 2005/6/10(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sleep Apnea Syndrome detection based on heart rate variability analysis
Sub Title (in English)
Keyword(1) heart rate variability
Keyword(2) respiration intervals detection
Keyword(3) Sleep Apnea Syndrom
Keyword(4) Sleep Apnea detection
Keyword(5) fitting sinusoids
1st Author's Name Shintaro TAKATSUKA
1st Author's Affiliation Research Group of Biomedical Systems Engineering, Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Shun MURABAYASHI
2nd Author's Affiliation Research Group of Biomedical Systems Engineering, Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Yoshinori MITAMURA
3rd Author's Affiliation Research Group of Biomedical Systems Engineering, Graduate School of Information Science and Technology, Hokkaido University
Date 2005-06-17
Paper # MBE2005-13
Volume (vol) vol.105
Number (no) 122
Page pp.pp.-
#Pages 4
Date of Issue