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Electrocardiographic signal processing for respiration signal detection & heart rate variability analysis : 호흡수 측정과 심박변이 분석을 위한 심전도 신호 처리
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- Authors
- Advisor
- 서종모
- Major
- 공과대학 전기·컴퓨터공학부
- Issue Date
- 2014-08
- Publisher
- 서울대학교 대학원
- Keywords
- electrocardiographic signal ; respiration signal ; real-time ; wavelet transform ; pan&tompkins
- Description
- 학위논문 (석사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2014. 8. 서종모.
- Abstract
- The aim of this thesis is to present electrocardiographic signal processing methods for the extraction of relevant cardiovascular and respiratory information. Dierent signal processing techniques are presented
non real-time wavelet
transform and real-time signal processing methods, both with the aim of the extraction of the QRS complex. Further, the respiration signal is derived using a plethysmography techniques solely based on the impedance changes of the
thorax during respiration and nally the relationships between the cardiorespiratory and the autonomic nervous system is explored. Closely examining the heart rate, respiration and changes of the heart beat during respiration can provide enough information to evaluate the autonomic nervous system and so a health status of the patient.
- Language
- English
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