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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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dc.contributor.advisor서종모-
dc.contributor.authorJoaquin Sanchez Duarte-
dc.date.accessioned2017-07-14T02:57:37Z-
dc.date.available2017-07-14T02:57:37Z-
dc.date.issued2014-08-
dc.identifier.other000000021789-
dc.identifier.urihttps://hdl.handle.net/10371/123101-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 전기·컴퓨터공학부, 2014. 8. 서종모.-
dc.description.abstractThe 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-
dc.description.abstractnon 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.		-
dc.description.tableofcontents1 The Electrocardiogram 1
1.1 ECG/EKG . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.1.1 Activation of the Heart . . . . . . . . . . . . . . . . . . 1
1.1.2 Cardiac Conduction Cycle . . . . . . . . . . . . . . . . . 2
1.2 System of Leads . . . . . . . . . . . . . . . . . . . . . . . . . . 3
1.2.1 Einthoven's triangle . . . . . . . . . . . . . . . . . . . . 5
1.3 Instrumentation . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.3.1 Sources of noise . . . . . . . . . . . . . . . . . . . . . . . 6
1.3.2 Bio-acquisition hardware . . . . . . . . . . . . . . . . . . 7
2 ECG processing with Wavelet Transforms 11
2.1 Continous Wavelet transform CWT . . . . . . . . . . . . . . . . 12
2.2 Discrete Wavelet Transform DWT . . . . . . . . . . . . . . . . 12
2.2.1 Multi Resolution Analysis with Discrete Wavelet trans
forms . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2.2.2 ECG Decomposition . . . . . . . . . . . . . . . . . . . . 14
2.2.3 Denoising with Wavelet Transforms . . . . . . . . . . . 14
2.2.4 QRS complex Detection . . . . . . . . . . . . . . . . . . 16
3 ECG Derived Respiration EDR 19
3.1 Impedance Plethysmography . . . . . . . . . . . . . . . . . . . 20
3.2 Mean Cardiac axis . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.3 Real time QRS Complex detection . . . . . . . . . . . . . . . . 21
3.3.1 Pre-Processing . . . . . . . . . . . . . . . . . . . . . . . 22
3.3.2 Peak Detection: . . . . . . . . . . . . . . . . . . . . . . . 23
3.4 Respiration Signals . . . . . . . . . . . . . . . . . . . . . . . . . 24
3.4.1 Nasal Sensor . . . . . . . . . . . . . . . . . . . . . . . . 24
4 Heart Rate Variability 27
4.1 Autonomic Nervous System . . . . . . . . . . . . . . . . . . . . 27
4.1.1 Heart Rate variability HRV . . . . . . . . . . . . . . . . 28
4.1.2 Respiration Sinus arrhythmia . . . . . . . . . . . . . . . 28
4.1.3 Physiological origins of heart rate variability . . . . . . 29
4.1.4 HRV frequency bands . . . . . . . . . . . . . . . . . . . 31
4.1.5 RSA and vagal tone . . . . . . . . . . . . . . . . . . . . 32
4.1.6 RSA and respiration . . . . . . . . . . . . . . . . . . . . 33
4.2 Heart rate variability measurements . . . . . . . . . . . . . . . 34
4.3 HRV signal derivation . . . . . . . . . . . . . . . . . . . . . . . 35
4.3.1 Autonomic nervous system changes during supine and
standing positions . . . . . . . . . . . . . . . . . . . . . 37
5 Analysis and Discussion 40		-
dc.formatapplication/pdf-
dc.format.extent5044147 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectelectrocardiographic signal-
dc.subjectrespiration signal-
dc.subjectreal-time-
dc.subjectwavelet transform-
dc.subjectpan&tompkins-
dc.subject.ddc621-
dc.titleElectrocardiographic signal processing for respiration signal detection & heart rate variability analysis-
dc.title.alternative호흡수 측정과 심박변이 분석을 위한 심전도 신호 처리-
dc.typeThesis-
dc.contributor.AlternativeAuthor호아킨 산체스-
dc.description.degreeMaster-
dc.citation.pages46-
dc.contributor.affiliation공과대학 전기·컴퓨터공학부-
dc.date.awarded2014-08-
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