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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 歐陽彥正(Yan-Jheng Oyang) | |
| dc.contributor.author | Chih-Hao Chen | en |
| dc.contributor.author | 陳志豪 | zh_TW |
| dc.date.accessioned | 2021-06-08T02:50:48Z | - |
| dc.date.copyright | 2018-03-12 | |
| dc.date.issued | 2017 | |
| dc.date.submitted | 2017-08-16 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20497 | - |
| dc.description.abstract | 突發性院外心跳停止是引發成人死亡的首要原因之一，經常由心室顫動 (VF) 造成。即時偵測這些致命性的心律不整，並且盡早以自動體外電擊器 (AED) 施予去顫，是治療關鍵。
但是在使用AED急救的過程，必須停下正在進行的心肺復甦術，讓機器判讀是否達到電擊的標準。倘若停下來讓機器判讀的過程病患是無心跳的，這樣會導致病患生還的機率下降。 為了改善上述的窘境，本論文提供了數個方法希望能改善上述問題。 | zh_TW |
| dc.description.abstract | Sudden out of hospital cardiac arrest, one of the leading causes of death among adults, is frequently caused by ventricular fibrillation (VF). Prompt recognition of these life-threatening arrhythmias and early defibrillation treatment using an automated external defibrillator (AED) are crucial.
However, in the process of using AED, it must stop the ongoing cardiopulmonary resuscitation to let the machine interpret that the patient is shockable or nonshockable. If ambulance man stop cardiopulmonary resuscitation for AED interpreting the patient’s situation with no heartbeat, it will lead to the survival rate of patients decreased. In order to improve the above dilemma, this study provides several ways to improve the above problems. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T02:50:48Z (GMT). No. of bitstreams: 1 ntu-106-R03945032-1.pdf: 5230341 bytes, checksum: 4994271134486677ca810f56a89808ad (MD5) Previous issue date: 2017 | en |
| dc.description.tableofcontents | 口試委員會審定書 #
致謝 i 中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vii LIST OF TABLES viii Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 8 1.3 Organization of the Thesis 11 Chapter 2 Method 14 2.1 Mixed-Signal Stage 14 2.1.1 ECG Signal 14 2.1.2 CPR Signal 16 2.2 Time-Frequency Signal Analysis Stage 17 2.2.1 Short time Fourier transform 17 2.2.2 Wavelet transform 19 2.2.3 Spectrogram 21 2.2.4 Tools Selected 22 2.3 Edge Detection Stage 23 2.3.1 Edge Detection 23 2.4 Ensemble Empirical Mode Decomposition (EEMD) and Intrinsic Mode Functions (IMFs) Stage 26 2.4.1 Empirical Mode Decomposition(EMD) 26 2.4.2 Ensemble empirical mode decomposition (EEMD) 29 2.4.3 Compare with EMD and EEMD 31 2.5 Event Detection Stage 32 2.5.1 Event Detection 32 2.6 Independent Component Analysis (ICA) Stage 34 2.6.1 Independent Component Analysis (ICA) 34 2.7 Principal Components Analysis (PCA) Stage 38 2.7.1 Principal components analysis (PCA) 38 Chapter 3 Result 42 3.1 Result of Heartbeat Detection with Wavelet 42 3.1.1 Description of the experience of Heartbeat Detection with Wavelet 42 3.1.2 The results of sensitivity and specificity by Heartbeat Detection with wavelet 44 3.2 Result of MCICA 45 3.2.1 Description the experience of MCICA 45 3.2.2 The cross-correlation between reconstructed ECG signals and original ECG signals with MCICA 46 3.3 Result of SCICA 47 3.3.1 Description the experience of SCICA 47 3.3.2 The cross-correlation between reconstructed ECG signals and original ECG signals with SCICA 48 3.4 Result of Heartbeat Detection with IMFs 49 3.4.1 Description the experience of Heartbeat Detection 49 3.4.2 The results of sensitivity and specificity by Heartbeat Detection with IMFs 50 Chapter 4 Discussion and Conclusion 51 4.1 Discussion 51 4.1.1 Discussion of Heartbeat detection 51 4.1.2 Discussion of MCICA 53 4.1.3 Discussion of SCICA 53 4.1.4 Discussion of Heartbeat Detection with IMFs 54 4.2 Conclusion and Future Work 55 Reference 57 | |
| dc.language.iso | en | |
| dc.title | 心肺復甦術下心電圖信號之分析與重建 | zh_TW |
| dc.title | Analysis and Reconstruction of Electrocardiogram(ECG) signals during Cardiopulmonary Resuscitation(CPR) | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 105-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張瑞峰(Ruei-Fong Chang),韓謝忱(Hsieh-Cheng Han) | |
| dc.subject.keyword | 心電圖,獨立成分分析,主成分分析, | zh_TW |
| dc.subject.keyword | Electrocardiogram Signals,ICA,PCA,EEMD,EMD,IMF, | en |
| dc.relation.page | 62 | |
| dc.identifier.doi | 10.6342/NTU201702647 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2017-08-16 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
| 顯示於系所單位： | 生醫電子與資訊學研究所 | |
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