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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 趙福杉(Fu-Shan Jaw) | |
dc.contributor.author | Kuen-Chi Chang | en |
dc.contributor.author | 張昆祺 | zh_TW |
dc.date.accessioned | 2021-06-16T10:30:55Z | - |
dc.date.available | 2018-08-20 | |
dc.date.copyright | 2013-08-20 | |
dc.date.issued | 2013 | |
dc.date.submitted | 2013-08-14 | |
dc.identifier.citation | [1] 行政院衛生署,公共衛生年報。www.doh.gov.tw,101 年10 月。
[2] 世界衛生組織,World Health Organization(WHO). The leading causes of deaths, www.who.int, 2008. [3] S. Stern, D. Tzivoni, Z. Stern. Diagnostic Accuracy of Ambulatory ECG Monitoring in Ischemic Heart Disease. Circulation, vol. 52, pp. 1045-1049, 1975. [4] N. Belie, J. M. Gardin. ECG Manifestations of Myocardial Ischemia. Arch Intern Med, vol. 140, No. 2, pp. 1162-1165, 1980. [5] Y. L. Tseng. Early Detection of Ischemic Heart Disease Using Multi-lead ECG and Heart Sounds, National Taiwan University (Doctoral Dissertation), 2012. [6] V. F. Froelicher, M. M. Tomas, C. Pillow, et al. Epidemiologic Study of Asymptomatic Men Screened by Maximal Treadmill Testing for Latent Coronary Artery Disease. The American journal of cardiology, vol. 34, No. 7, pp. 770-776. 1974. [7] J. L. Sun, Y. Zhao, Y. L. Gao, et al. Coronary heart disease diagnosis bases on the change of different parts in treadmill exercise test ECG. Cell Biochemistry and Biophysics, 2013. [8] R. A. Bruce, J. R. McDonough. Stress testing in screening for cardiovascular disease. Conference on Automated Multiphasic Health Screening, vol. 45, No. 12, pp. 1288- 1305, 1969 [9] A. G. Bratel, V. S. Behar, R. H. Peter, et al. Exercise Stress Testing in Evaluation of Aortocoronary Bypass Surgery : Report of 123 Patients. Circulation, vol. 48, pp. 141- 148, 1973. [10] J. R. Bengtson, D. B. Mark, M. B. Honan, et al. Detection of Restenosis After Elective Percutaneous Transluminal Coronary Angioplasty Using the Exercise Treadmill Test. The American Journal of Cardiology, vol. 65, pp. 28-34, 1990. [11] F. Pigozzi, A. Spataro, A. Alabiso, et al. Role of exercise stress test in master athletes. British Journal of Sports Medicine, vol. 39, pp. 527-531, 2005. [12] T. Sebastian, P. C. Pandey, S. M. M. Naidu, et al. Wavelet Based Denoising for Suppression of Respiratory and Motion Artifacts in Impedance Cardiography. Computing in Cardiology, vol.38, pp. 501-504, 2011. [13] D. Vala, T. Pawar. A Survey on Ambulatory ECG and Identification of Motion Artifact. International Journal of Engineering Research and Development, vol. 1, pp. 38-41, 2012. [14] H. Tam, J. G. Webster. Minimizing Electrode Motion Artifact by Skin Abrasion. IEEE Transactions on Biomedical Engineering, vol. 24, NO. 2, pp. 134-139, 1977. [15] D. A. Tong, K. A. Bartels, K. S. Honeyager. Adaptive reduction of motion artifact in the electrocardiogram. Engineering in Medicine and Biology, vol. 2, pp. 1403-1404, 2002. [16] S. H. Liu. Motion Artifact Reduction in Electrocardiogram Using Adaptive Filter. Journal of Medical and Biological Engineering, vol. 31, No. 1, pp. 1590-1593, 2010. [17] J. Ottenbacher, M. Kirst, M. Huflejt, et al. Reliable Motion Artifact Detection for ECG Monitoring Systems with Dry Electrodes. Engineering in Medicine and Biology Society, pp. 1695-1698, 2008. [18] M. A. D. Raya, L. G. Sison. Adaptive noise cancelling of motion artifact in stress ECG signals using accelerometer. Engineering in Medicine and Biology, vol. 2, pp. 1756-1757, 2002. [19] S. Lin, L. Lai, X. Wu. Adaptive removal of motion artifact from ECG based on impedance detection. Journal of Biomedical Engineering, vol. 27, No. 3, pp. 529- 532, 543, 2010. [20] J. Ottenbacher, M. Kirst, L. Jatoba, et al. An approach to reliable motion artifact detection for mobile long-term ECG monitoring systems using dry electrodes. Medical and biological engineering and computing, vol. 18, pp. 440-443, 2008. [21] M. Milanesi, N. Martini, N. Vanello, et al, Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals. Medical and biological engineering and computing, vol. 46, No. 3, pp.251-261, 2008. [22] H. Yoon, H. Kim, S. Kwon, et al. An Automated Motion Artifact Removal Algorithm in Electrocardiogram Based on Independent Component Analysis. International Conference on eHealth, Telemedicine, and Social Medicine, pp. 15-20, 2013. [23] J. J. Huang. Design and Implementation of the AC-coupled EEG Measurement System. National Central University(Master Thesis), 2007. [24] V. X. Afonso. ECG QRS Detection. Biomedical digital signal processing, pp. 236- 264. 1993. [25] P. Hamilton, M. Curley, R. Aimi, et al. Comparison of Methods for Adaptive Removal of Motion Artifact. IEEE Computers in Cardiology vol. 27, pp. 383-386, 2000. [26] T. Berset, D. Geng, I. Romero. An Optimized DSP Implementation of Adaptive Filtering and ICA for Motion Artifact Reduction in Ambulatory ECG Monitoring. Engineering in Medicine and Biology Society, pp. 6496-6499, 2012. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60804 | - |
dc.description.abstract | 近年來,人們飲食習慣的改變使得心臟病已經成為現代人的一大威脅,其中缺血性心臟病更是全球致死率最高的疾病,主要是由於其缺乏早期徵兆,而臨床上最用來早期診斷出缺血性心臟病最重要的工具之一為運動心電圖,因為運動心電圖可藉由運動使心臟的需氧量變大,藉以反映出供應氧氣的能力來判斷血管是否有粥狀硬化的現象,比起一般心電圖,可診斷出更早期的缺血性心臟病。
然而,運動心電圖若受到移動雜訊的影響,會造成心電訊號振幅的改變,進而造成基線有嚴重漂移的現象,使得醫護人員無法確切的診斷疾病,且此雜訊影響的頻帶剛好與心電訊號的頻率重疊,故要將此雜訊消除且保留完整心電訊號是相當困難的事。 本研究主要目的為消除移動雜訊,並保留無失真的心電訊號,故我們將消除過程分為硬體與軟體兩部分,先藉由硬體架構將移動雜訊消除,但由於頻帶的重疊,使得在消除移動雜訊的同時,部分心電訊號跟著也被消除而失真,因此,我們透過軟體擷取出原始心電訊號中的P波、QRS波和T波,並以硬體處理後之心電訊號的基線和原始訊號的波形重組成一個完整的心電訊號。 期許本系統未來可實際用來消除運動心電圖的移動雜訊,幫助醫療人員更準確的判斷出早期缺血性心臟病的徵兆,使病患能及時接受治療。 | zh_TW |
dc.description.abstract | Heart disease has become a serious problem for human because of diet. According to World Health Organization, ischemic heart disease causes the highest death rate due to lack of early symptoms. Therefore, one of the most important diagnostic tools for clinic is exercise ECG. Because the oxygen demand of heart increases through exercising, exercise ECG can show the characteristics of myocardial ischemia if the oxygen supply is not enough. As a result, exercise ECG can help doctor to diagnose ischemic heart disease early.
The motion artifacts, which combine with exercise ECG during measurement, cause misdiagnosis because it change amplitude of waveform and would lead to serious baseline wander. Furthermore, the motion artifacts is hard to suppress since its spectrum completely overlaps with ECG. The aim of this study is to suppress the motion artifacts and to reserve ECG without distortion. First, we propose a hardware circuit to eliminate motion artifact and get a flat baseline. However, the part of ECG also eliminate because the spectrum completely overlaps. Therefore, we extract the shape of P, QRS, and T wave from raw ECG. Finally, we reconstruct ECG by using the flat baseline and the waveform which we extract from raw ECG. We honestly hope the system we implement in this study could be helpful in early diagnosis ischemic heart disease, so that patients can be treated timely. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T10:30:55Z (GMT). No. of bitstreams: 1 ntu-102-R00548049-1.pdf: 1607473 bytes, checksum: 323c516a7c2826919be1c298a62c3ff9 (MD5) Previous issue date: 2013 | en |
dc.description.tableofcontents | 目錄
致謝 ....................................................................................................................................i 摘要 ................................................................................................................................... ii Abstract ............................................................................................................................. iii 目錄 ................................................................................................................................... v 圖目錄 ............................................................................................................................. vii 表目錄 ............................................................................................................................ viii 一、緒論 .......................................................................................................................... 1 1.1 研究背景與動機 ............................................................................................... 1 1.2 研究目的 ........................................................................................................... 2 二、研究方法與系統設計 .............................................................................................. 4 2.1 系統架構 ........................................................................................................... 4 2.2 心電訊號記錄流程 ........................................................................................... 5 2.3 移動雜訊消除電路 ........................................................................................... 5 2.4 最佳濾波器參數設定 ....................................................................................... 7 2.4.1 頻譜分佈範圍 ........................................................................................ 7 2.4.2 濾波器參數模擬 .................................................................................... 8 2.5 心電圖重建 ........................................................................................................ 9 2.5.1 PQRST 波段偵測與對應 ..................................................................... 9 2.5.2 基線調整和完整波形重建 .................................................................. 10 三、結果 ........................................................................................................................ 11 3.1 實際測量之心電訊號 ..................................................................................... 11 3.2 最佳參數模擬結果 ......................................................................................... 12 3.2.1 心電訊號頻譜分佈 .............................................................................. 12 3.2.2 濾波器參數模擬範圍 .......................................................................... 13 3.2.3 濾波器參數模擬結果 .......................................................................... 13 3.3 雜訊處理電路與輸出訊號 ............................................................................. 16 3.3.1 帶拒濾波器 .......................................................................................... 16 3.3.2 雜訊處理電路輸出波形 ...................................................................... 17 3.3.3 模擬電路與實際電路比較 .................................................................. 18 3.4 重建後之心電訊號 ......................................................................................... 20 3.4.1 PQRST 偵測與對應 ........................................................................... 20 3.4.2 波段擷取基線調整 .............................................................................. 21 3.4.3 重建無移動雜訊之心電訊號 .............................................................. 22 3.5 均方誤差值比較 ............................................................................................. 23 四、討論 ........................................................................................................................ 24 4.1 均方誤差(Mean Square Error) ........................................................................ 24 4.2 波形探討 ......................................................................................................... 24 4.3 結論 ................................................................................................................. 26 4.4 未來展望 ......................................................................................................... 26 參考文獻 ........................................................................................................................ 27 附錄、心電圖記錄器 .................................................................................................... 30 圖目錄 圖一、系統架構圖 .......................................................................................................... 4 圖二、移動雜訊處理電路方塊圖 .................................................................................. 6 圖三、帶拒濾波器(band‐stop filter) ............................................................................... 6 圖四、減法器(subtractor) ............................................................................................... 7 圖五、重建心電訊號流程圖 ........................................................................................ 10 圖六、原始心電訊號 .................................................................................................... 11 圖七、心電訊號頻譜分佈 ............................................................................................ 12 圖八、心電訊號頻譜分佈 ............................................................................................ 12 圖九、帶拒濾波器頻率響應 ........................................................................................ 16 圖十、經由雜訊處理電路之心電訊號 ........................................................................ 17 圖十一、模擬電路與實際電路之輸出波形與均方誤差 ............................................ 18 圖十二、均方誤差曲線圖 ............................................................................................ 19 圖十三、原始心電訊號PQRST 偵測............................................................................ 20 圖十四、經由雜訊處理電路之心電訊號PQRST 偵測 ................................................ 20 圖十五、原始心電訊號P 波,QRS 波,T 波擷取 ............................................................ 21 圖十六、原始心電訊號P 波,QRS 波,T 波基線調整 .................................................... 21 圖十七、重建後之心電訊號 ........................................................................................ 22 圖十八、不同處理方法之波形比較 ............................................................................ 25 附錄圖一、心電圖紀錄器 ............................................................................................ 30 表目錄 表一、參數模擬結果一 ................................................................................................ 13 表二、參數模擬結果二 ................................................................................................ 15 表三、均方誤差值比較 ................................................................................................ 23 | |
dc.language.iso | zh-TW | |
dc.title | 心電圖移動雜訊即時抑制之最佳化 | zh_TW |
dc.title | Suppressing the motion artifact of ECG optimally in real-time | en |
dc.type | Thesis | |
dc.date.schoolyear | 101-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 郭德盛(Te-Son Kuo),黃基礎(Ji-Chuu Hwang),謝建興(Jiann-Shing Shieh) | |
dc.subject.keyword | 缺血性心臟病,運動心電圖,移動雜訊,基線飄移,頻帶重疊, | zh_TW |
dc.subject.keyword | Ischemic heart disease,Exercise ECG,Motion artifacts,Baseline wander,Spectrum completely overlaps, | en |
dc.relation.page | 30 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2013-08-15 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 醫學工程學研究所 | zh_TW |
顯示於系所單位: | 醫學工程學研究所 |
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