博碩士論文 104521054 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:95 、訪客IP:18.224.68.59
姓名 陳準(Chun Chen)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 光體積血容積之心率變異度量測及分析應用
相關論文
★ 使用梳狀濾波器於相位編碼之穩態視覺誘發電位腦波人機介面★ 應用電激發光元件於穩態視覺誘發電位之腦波人機介面判斷
★ 智慧型手機之即時生理顯示裝置研製★ 多頻相位編碼之閃光視覺誘發電位驅動大腦人機介面
★ 以經驗模態分解法分析穩態視覺誘發電位之大腦人機界面★ 利用經驗模態分解法萃取聽覺誘發腦磁波訊號
★ 明暗閃爍視覺誘發電位於遙控器之應用★ 使用整體經驗模態分解法進行穩態視覺誘發電位腦波遙控車即時控制
★ 使用模糊理論於穩態視覺誘發之腦波人機介面判斷★ 利用正向模型設計空間濾波器應用於視覺誘發電位之大腦人機介面之雜訊消除
★ 智慧型心電圖遠端監控系統★ 使用隱馬可夫模型於穩態視覺誘發之腦波人機介面判斷 與其腦波控制遙控車應用
★ 使用類神經網路於肢體肌電訊號進行人體關節角度預測★ 使用等階集合法與影像不均勻度修正於手指靜脈血管影像切割
★ 應用小波編碼於多通道生理訊號傳輸★ 結合高斯混合模型與最大期望值方法於相位編碼視覺腦波人機介面之目標偵測
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 心率變異度HRV (Heart Rate Variability) 在近年來為國際上被大家熱烈的討論及研究的議題,是一種量測連續心跳速率變化過程的方法。目前心律變異度(HRV)的研究都是分析心電圖(ECG)中R波與R波的時間間距(R-R interval, RRI),並分析R-R間距的頻譜中極低頻(Very-low frequency)、低頻(Low frequency)、與高頻(Hight frequency)的能量,計算低頻與高頻的能量比例(LF/HF ratio),作為估測受試者交感/副交感神經活性的依據。而許多時間域的指標,如心跳間隔均方根值(RMSSD)與心跳變異(SDNN)在本研究中也有被研究。然而,使用心電圖進行心律變異度(HRV)量測,通常需要量測受試者的左手與右手,此部分經常造成使用者的不方便,也比較難以實現穿戴式裝置的連續量測情境。因此,在本研究中,我們試圖嘗試使用光體積血容積(PPG)作為取代心電圖(ECG)心律變異度量測的手段,藉由使用光體積血容積(PPG)與心電圖(ECG)的同步量測評估,我們發現PPG與ECG具有十分高的相關性,因此證明使用PPG取代ECG的可能性。另外,本研究也量測SDNN/RMSSD,並討論使用時間域參數取代頻率域LF/HF的可能性。
摘要(英) Heart-rate variability (HRV) is a popular issue which has been widely discussed in academic heart studies. In the HRV, the changes of heart-rate information is continuously analyzed. Current HRV measurements analyze R-R intervals of electrocardiogram (ECG) and calculate the spectral density of very low-frequency, low-frequency, and high-frequency bands for estimating the sympathetic/parasympathetic activities. Indicators, such as RMSSD, SDNN, and SDANN, are proposed as indexes for risk factor estimations. Though ECG-based HRV has been widely studied, however, the ECG measurement requires the electrodes to be contacted on both hands which causes inconveniency and is not suitable to be designed for continuous measurement using wearable devices. Accordingly, in our study, we intend to test the feasibility of using photoplethysmogram (PPG) to replace ECG in HRV measurement. Both ECG and PPG signals were measured simultaneously and compared. The ratio between HRV low-frequency and high-frequency components (LF/HF) in each subject was calculated and compared with the value of ECG LF/HF. We found there was a high linear correlation between PPG and ECG -based HRV which demonstes its feasibitliy of replacing ECG by PPG. In addition, in our stud, the feasibility of time-domain parameter SDNN/RMSSD was also calculated for HRV study.
關鍵字(中) ★ 心率變異度
★ 自律神經活性
★ 心電圖
★ 光體積血容積
關鍵字(英) ★ Heart-rate variability (HRV)
★ autonomous activity
★ electrocardiogram (ECG)
★ photoplethysmogram (PPG)
論文目次 摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章 緒論 1
1.1 前言 1
1.2 研究動機與目的 2
1.3 論文章節與架構 3
第二章 原理簡介 5
2.1 心電圖原理簡介 5
2.1.1 心臟搏動 5
2.1.2 心率 8
2.1.3 心電圖ECG 9
2.2 光體積血容積原理簡介 12
2.2.1 光體積血容積原理 12
2.2.2 光體積血容積量測方式 13
2.3 心率變異度 16
2.3.1 心率變異度之原理簡介 16
2.3.2 分析方法 18
第三章 系統架構 24
3.1 系統架構 25
3.2 硬體架構 26
3.3 韌體設計 29
3.4 訊號處理 29
3.4.1心電圖訊號處理流程 29
3.4.2光體積血容積訊號處理流程 32
第四章 實驗設計與結果 36
4.1 實驗設計 36
4.2 實驗裝置與環境 37
4.3 數據分析與結果 39
第五章 結論與未來展望 56
參考文獻 58
參考文獻

[1] J. Allen, ”Photoplethysmography and its application in clinical physiological
measurement,” Physiological Measurement, vol. 28, pp. R1–R39, Feb 20 2007.
[2] S. Dash, K. H. Chon, S. Lu, and E. A. Raeder, “Automatic real time detection of atrial fibrillation,” Annals of Biomedical Engineering, vol. 37, no. 9, pp. 1701–1709, 2009.
[3] Sheng-Chieh Huang . et.aL, ”A ±6ms-Accuracy, 0. 68mm2, and 2.21 J.lW QRS Detection ASIC”, VLSI Design, Hindawi Publishing Corporation, Volume 2012, Article ID 809393, 13 pages, 2012.
[4] Allen, John. ”Photoplethysmography and its application in clinical physiological measurement.” Physiological Measurement 28.3.R1-R39, (2007).
[5] Esenaliev, Rinat O., et al. ”Continuous, noninvasive monitoring of total hemoglobin concentration by an optoacoustic technique.” Applied Optics 43.17. págs. 3401-3407, (2004).
[6] Allen, J., and A. Murray. ”Variability of photoplethysmography peripheral pulsemeasurements at the ears, thumbs and toes.” IEEE Proceedings - Science Measurement and Technology 147.6.403 – 407, (2000).。
[7] Sait, M. L., A.W. Wood, and H.A. Sadafi, “A study of heart rate and heart rate
variability in human subjects expose to occupational levels of 50Hz circular polarised
magnetic fields,” Medical Engineering & Physics, 21: 361-369,1999.
[8] Kleiger RE, Miller JP, Bigger JT, et al. Decreased heart rate variability and its
association with increased mortality after acute myocardial infarction. Am J
Cardiol 1987;59:256-62.
[9] Malik M, Farrell T, Cripps T, et al. Heart rate variability in relation to prognosis
after myocardial infarction: selection of optimal processing techniques. Eur
Heart J 1989;10:1060-74.
[10] Bigger JT, Fleiss JL, Steinman RC, et al. Frequency domain measures of heart
period variability and mortality after myocardial infarction. Circulation
1992;85:164-71.
[11] Politano L, Palladino A, Nigro G, Scutifero M, Cozza V.(2008) Usefulness of heart
rate variability as a predictor of sudden cardiac death in muscular
dystrophies.Acta Myol 27:114-22.
[12] Lown B, Verrier RL. Neural activity and ventricular fibrillation. N Engl J Med
1976;294:1165-70.
[13] Corr PB, Yamada KA, Witkowski FX. Mechanisms controlling cardiac
autonomic function and their relation to arrhythmogenesis. In: Fozzard HA,
Haber E, Jennings RB, et al., editors. The heart and cardiovascular system. New
[14] Schwartz PJ, Priori SG. Sympathetic nervous system and cardiac arrhythmias.
In: Zipes DP, Jalife J, editors. Cardiac electrophysiology: From cell to bedside.
Philadelphia: WB Saunders Co 1990. p. 330-43.
[15] Odemeyiwa O,Malik M,Farrell T,Bashir Y,Poloniecki J,Camm J. Comparison of the predictive characteristics of heart rate variability index and left ventricular ejection fraction for all-cause mortality, arrhythmic events and sudden death after acute myocardial infraction. Am J Cardiol 1988;61:208-15.
[16] B. Aysin, J. Colombo, and E. Aysin, “Comparison of HRV analysis methods during Orthostatic Challenge: HRV with respiration or without?,”in Engineering in Medicine and Biology Society, 2007. EMBS 007. 29th Annual International Conference of the IEEE, pp. 5047–5050, IEEE, 2007.
[17] C. Karmakar, A. Khandoker, H. Jelinek, and M. Palaniswami, “Risk
stratification of cardiac autonomic neuropathy based on multi-lag toneentropy,”
Med. Biol. Eng. Comput., vol. 51, p. 537?546, 2013.
[18] K. Nasim, A. Jahan, and S. Syed, “Heart rate variability : a review,”
J. Basic Appl. Sci., pp. 71–77, 2011.
[19] Akselrod, S., D. Gordon, F.A. Ubel, D. C., Shannon, A. C., Barger, and R.J., Cohen,
“Power Spectrum Analysis of Heart Rate Fluctuation: A Quantitative Probe of Beat–
to-Beat Cardiovascular Control,” Science, 213: 220-222, July 1981.
[20] Salinger, J., J.,Pumprla, R.,Vychodil, P.,Steskal, J.Opavsky, and J.,Novotny,
“ Microcomputer System for Telemetric Assessment of Short Term Heart Rate
Variability and Frequency Domain, Type VariaCardio TF4,” IEEE Computers in
Cardiology, 26: 599-602, 1999
[21] Ventura, A.G., and S. Reisman, “A Study of Factor Affecting Cardiovascular
Reactivity,” IEEE Trans. Biomed. Eng., 26: 53-54, 2000.
[22] Fan, S.Z., Y.J., Cheng, and C.C., Liu, “Heart Rate Variability --A Useful Non-invasive
Tool in Anesthesia,” ACTA ANAESTHESIOL SIN, 32: 51-56,1994.
指導教授 李柏磊(Po-Lei Lee) 審核日期 2017-8-23
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明