簡易檢索 / 詳目顯示

研究生: 余碧妃
YEE, PIK-FEI
論文名稱: 建立一套簡易的睡眠品質評估系統
To Implement a Simple Device for Assessing Sleep Quality
指導教授: 陳天送
Chen, Tainsong
學位類別: 碩士
Master
系所名稱: 工學院 - 生物醫學工程學系
Department of BioMedical Engineering
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 64
中文關鍵詞: 睡眠障礙睡眠呼吸暫停心率變異光電容積脈搏波圖氧飽和度脈率鼾聲
外文關鍵詞: Sleep disorder, Sleep apnea, Heart rate variability, Photopletheysmography, Oxygen saturation, Pulse rate, Snoring sound
相關次數: 點閱:133下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 依據台灣睡眠醫學會的報告,每五人中就有一人出現睡眠障礙的問題,睡眠障礙的存在不僅僅是老年人和青年人。大多數睡眠呼吸中止發生在肥胖者身上,然而,他們並不知情。因此,開發一種在家中進行睡眠障礙檢測的簡單設備是必要的。
    這項研究的目的是實現一個簡單的評估睡眠障礙的系統,即可在家中使用也無需負擔昂貴的費用,更不是復雜的系統。一些基本訊號包括鼾聲訊號,血氧飽和度和心率變異皆被記錄,而這些訊號都是從美國睡眠醫學院準則裏選出。
    通過脈搏血氧儀(Nellcor Oximax N-600x)監測血氧飽和度(SpO2)和光電容積脈搏波圖(PPG)。首先,脈搏血氧儀提供兼顯示實時非標準化波形信號的記錄脈衝信號。接下來,SpO2顯示器顯示血氧飽和度,而當下的脈率也一同進行連續記錄。AT2020 USB麥克風具有自動減少噪音和USB端口的特點,易於設置和記錄低功率的高品質聲音適用於獲取鼾聲。
    心率變異(HRV)源自光電容積脈搏波圖(PPG)的PP間期序列。時域分析方法將PP間隔以標準化的計算方式來得出心率變異。血氧飽和度則以缺氧狀況下將該時間,該數據及脈率即時記錄。22050 S / s的採樣頻率的鼾聲訊號將先分段出主要鼾聲區域並進行分析。

    According to the Taiwan Society of Sleep Medicine reports, one out of every five people has the problem of sleep disorder in Taiwan. Sleep problems are highly prevalent not only elder and the youth. Most of sleep apnea occurred in people with obesity. However, most of the people are not aware of their disease. Therefore, to develop a simple device operated at home for sleep disorder detection is needful.
    The aim for this study is to implement a simple device for assessing sleep disorder which can be used at home without expensive and complicated equipment. Some signals include snoring signal, oxygen saturation and heart rate variability are recorded. Those signals are selected from American Academy of Sleep Medicine Guidelines.
    SpO2, photoplethysmography (PPG) and pulse rate were monitored by a pulse oximeter (Nellcor Oximax N-600x). First, the oximetry provided a record pulse signal displayed a real time non-normalized waveform signal. Next, SpO2 display showed the hemoglobin oxygen saturation level and continuous recording. Then, pulse rate can be obtained and monitored. AT2020 USB microphone with the features of low-self noise and USB port, is easy to set up and record high quality sound with low power apply are used to acquire the snoring sound.
    Heart rate variability (HRV) is derived from PP interval time series of photoplethysmography (PPG). HRV with time-domain are computed from PP intervals under time-domain analysis method. SpO2 and pulse rate can be recorded directly when hypoxia. Snoring sound with a sample rate 22050 S/s was set and segmented signal processing is executed.

    摘要 I Abstract II 致謝 III Chapter 1. Introduction 1 1.1 Introduction of Sleep Quality 1 1.2 Introduction of Sleep Disorder 3 1.3 Motivation 7 1.4 Literature Review 8 Chapter 2. Physiological Signals 10 2.1 Heart Rate Variability 10 2.2 Blood Oxygen Saturation 12 2.3 Snoring Sound 13 2.4 Photoplethysmography 15 Chapter 3. Methods and Materials 16 3.1 System Design 16 3.2 Hardware of System 17 3.2.1 Nellcor TM N600-x pulse Oximeter 17 3.2.2 Audio-Technica AT2020USB Plus 18 3.2.3 NI USB-6008 18 3.3 Software of System 19 3.3.1 LabVIEW 19 3.4 System Algorithm 20 3.4.1 Heart Rate Variability 22 3.4.2 Blood Oxygen Saturation 24 3.4.3 Snoring Sound 26 3.5 Experiment Methods 29 3.5.1 Experiment 1 29 3.5.2 Experiment 2 30 3.5.3 Experiment 3 30 3.5.4 Experiment 4 30 Chapter 4. Results and Discussions 31 4.1 Result 31 4.1.1 Heart Rate Variability 31 4.1.2 Blood Oxygen Saturation 49 4.1.3 Snoring Sound 50 4.2 Discussion 59 4.2.1 Heart Rate Variability 59 4.2.2 Blood Oxygen Saturation 60 4.2.3 Snoring Sound 60 Chapter 5. Conclusions 61 References 63

    [1] M. T. Hyyppä and E. Kronholm, "Quality of sleep and chronic illnesses," Journal of clinical epidemiology, vol. 42, no. 7, pp. 633-638, 1989.
    [2] J. D. Edinger et al., "Derivation of research diagnostic criteria for insomnia: report of an American Academy of Sleep Medicine Work Group," Sleep, vol. 27, no. 8, pp. 1567-1596, 2004.
    [3] D. J. Buysse, C. F. Reynolds, T. H. Monk, S. R. Berman, and D. J. Kupfer, "The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research," Psychiatry research, vol. 28, no. 2, pp. 193-213, 1989.
    [4] B. L. Frankel, R. D. Coursey, R. Buchbinder, and F. Snyder, "Recorded and reported sleep in chronic primary insomnia," Archives of General Psychiatry, vol. 33, no. 5, pp. 615-623, 1976.
    [5] A. Parrott and I. Hindmarch, "Factor analysis of a sleep evaluation questionnaire," Psychological medicine, vol. 8, no. 2, pp. 325-329, 1978.
    [6] W. B. Webb, M. Bonnet, and G. Blume, "A post-sleep inventory," Perceptual and Motor Skills, vol. 43, no. 3, pp. 987-993, 1976.
    [7] D. E. Moul, E. A. Nofzinger, P. A. Pilkonis, P. R. Houck, J. M. Miewald, and D. J. Buysse, "Symptom reports in severe chronic insomnia," Sleep, vol. 25, no. 5, pp. 548-558, 2002.
    [8] E. Vanoli, P. B. Adamson, G. D. Pinna, R. Lazzara, and W. C. Orr, "Heart rate variability during specific sleep stages," Circulation, vol. 91, no. 7, pp. 1918-1922, 1995.
    [9] S. Elsenbruch, M. J. Harnish, and W. C. Orr, "Heart rate variability during waking and sleep in healthy males and females," Sleep, vol. 22, no. 8, pp. 1067-1071, 1999.
    [10] I. Berlad, A. Shlitner, S. BEN‐HAIM, and P. Lavie, "Power spectrum analysis and heart rate variability in Stage 4 and REM sleep: evidence for state‐specific changes in autonomic dominance," Journal of sleep research, vol. 2, no. 2, pp. 88-90, 1993.
    [11] C. Guilleminault, R. Winkle, S. Connolly, K. Melvin, and A. Tilkian, "Cyclical variation of the heart rate in sleep apnoea syndrome: mechanisms, and usefulness of 24 h electrocardiography as a screening technique," The Lancet, vol. 323, no. 8369, pp. 126-131, 1984.
    [12] T. Penzel, G. Amend, K. Meinzer, J. Peter, and P. Von Wichert, "MESAM: a heart rate and snoring recorder for detection of obstructive sleep apnea," Sleep, vol. 13, no. 2, pp. 175-182, 1990.
    [13] L. Bernardi et al., "Autonomic control of skin microvessels: assessment by power spectrum of photoplethysmographic waves," Clinical science, vol. 90, no. 5, pp. 345-355, 1996.
    [14] X. Teng and Y. Zhang, "Study on the peak interval variability of photoplethysmogtaphic signals," in Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on, 2003, pp. 140-141: IEEE.
    [15] N. Selvaraj, A. Jaryal, J. Santhosh, K. K. Deepak, and S. Anand, "Assessment of heart rate variability derived from finger-tip photoplethysmography as compared to electrocardiography," Journal of medical engineering & technology, vol. 32, no. 6, pp. 479-484, 2008.
    [16] F. Dalmasso and R. Prota, "Snoring: analysis, measurement, clinical implications and applications," European Respiratory Journal, vol. 9, no. 1, pp. 146-159, 1996.
    [17] P. G. Norton and E. V. Dunn, "Snoring as a risk factor for disease: an epidemiological survey," Br Med J (Clin Res Ed), vol. 291, no. 6496, pp. 630-632, 1985.
    [18] J. Fiz et al., "Acoustic analysis of snoring sound in patients with simple snoring and obstructive sleep apnoea," European Respiratory Journal, vol. 9, no. 11, pp. 2365-2370, 1996.
    [19] T. Penzel, J. W. Kantelhardt, L. Grote, J.-H. Peter, and A. Bunde, "Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea," IEEE Transactions on biomedical engineering, vol. 50, no. 10, pp. 1143-1151, 2003.
    [20] S. Akselrod, D. Gordon, F. A. Ubel, D. C. Shannon, A. Berger, and R. J. Cohen, "Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control," science, vol. 213, no. 4504, pp. 220-222, 1981.
    [21] C. Krüger, V. Landerer, C. Zugck, H. Ehmke, W. Kübler, and M. Haass, "The bradycardic agent zatebradine enhances baroreflex sensitivity and heart rate variability in rats early after myocardial infarction," Cardiovascular research, vol. 45, no. 4, pp. 900-912, 2000.
    [22] J. Fleetham, P. West, B. Mezon, W. Conway, T. Roth, and M. Kryger, "Sleep, arousals, and oxygen desaturation in chronic obstructive pulmonary disease: the effect of oxygen therapy," American Review of Respiratory Disease, vol. 126, no. 3, pp. 429-433, 1982.
    [23] P. P. Pereira-Junior, M. Marocolo, F. P. Rodrigues, E. Medei, and J. H. Nascimento, "Noninvasive method for electrocardiogram recording in conscious rats: feasibility for heart rate variability analysis," Anais da Academia Brasileira de Ciências, vol. 82, no. 2, pp. 431-437, 2010.
    [24] A. Günther, O. Witte, and D. Hoyer, "Autonomic dysfunction and risk stratification assessed from heart rate pattern," The open neurology journal, vol. 4, p. 39, 2010.
    [25] M. Nitzan, A. Romem, and R. Koppel, "Pulse oximetry: fundamentals and technology update," Medical Devices (Auckland, NZ), vol. 7, p. 231, 2014.
    [26] R. Anandanatarajan, Biomedical Instrumentation and Measurements. PHI Learning Pvt. Ltd., 2011.
    [27] M. Sundararanjan, "Optical sensor based instrument for correlative analysis of human ECG and breathing signal," International Journal of Electronics Engineering Research, vol. 1, pp. 287-298, 2009.
    [28] R. Laulkar and N. Daimiwal, "Applications of finger photoplethysmography," International Journal of Engineering Research and Applications (IJERA), vol. 2, no. 1, pp. 877-880, 2012.

    無法下載圖示 校內:2021-07-01公開
    校外:不公開
    電子論文尚未授權公開,紙本請查館藏目錄
    QR CODE