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  1. NTU Theses and Dissertations Repository
  2. 工學院
  3. 醫學工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59506
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor林啟萬(Chii-Wann Lin)
dc.contributor.authorShao-Wei Tsengen
dc.contributor.author曾劭偉zh_TW
dc.date.accessioned2021-06-16T09:25:58Z-
dc.date.available2020-07-07
dc.date.copyright2017-07-07
dc.date.issued2017
dc.date.submitted2017-06-08
dc.identifier.citation[1] A. S. Go, D. Mozaffarian, V. L. Roger, E. J. Benjamin, J. D. Berry, M. J. Blaha, et al., 'Heart disease and stroke statistics--2014 update: a report from the American Heart Association,' Circulation, vol. 129, pp. e28-e292, Jan 21 2014.
[2] M. Writing Group, D. Lloyd-Jones, R. J. Adams, T. M. Brown, M. Carnethon, S. Dai, et al., 'Heart disease and stroke statistics--2010 update: a report from the American Heart Association,' Circulation, vol. 121, pp. e46-e215, Feb 23 2010.
[3] J. Broderick, S. Connolly, E. Feldmann, D. Hanley, C. Kase, D. Krieger, etal., 'Guidelines for the management of spontaneous intracerebral hemorrhage in adults: 2007 update: a guideline from the American Heart Association/American Stroke Association Stroke Council, High Blood Pressure Research Council, and the Quality of Care and Outcomes in Research Interdisciplinary Working Group,' Circulation, vol. 116, pp. e391-413, Oct 16 2007.
[4] J.R. Marler, MD; B.C. Tilley, PhD; M. Lu, PhD; T.G. Brott, MD; P.C. Lyden, MD;C.A. Lewandowski; and T.P. Kwiatkowski, MD, for the NINDS rt-PA Stroke Study Group
[5] Friedman D. Claassen J, Hirsch L J:Continuous electroencephalogram monitoring in the intensive care unit. Anesth Analg 2009, 109:506-523.Hossmann KA: Viability thresholds and the penumbra of focal ischema.Ann Neurol 1994, 36:557-565.
[6] Niaz Ahmed, MD; Lars Kellert, MD; Kennedy R. Lees, MD; Result of Intravenous Thrombolysis Within 4.5 to 6 Hours and Updated Results Within 3 to 4.5 Hours of Onset of Acute Ichemic Stroke Recorded in the Safe Implementation of Treatment in Stroke International Stroke Thrombolysis Register(SITS-ISTR) An Observational Study
[7] Wayne M. Clark, MD; Stanley Wissman, MD; Gregory W. Albers, MD; Recombinant Tissue-Type Plasminogen Activator (Alteplase) for Ischemic Stroke 3 to 5 Hours After Symptom Onset; The ATLANTIS Study: A Randomized Controlled Trial
[8] Smajlović D, Sinanović O. Sensitivity of the neuroimaging techniques in ischemic stroke.
[9] Juhasz C, Kamondi A, Szirmai I. Spectral EEG analysis following hemispheric stroke: evidences of transhemispheric diaschisis. Acta Neurol Scand 1997: 96: 397-400. Munksgaard 1997.
[10] Brandon Foreman and Jan Claassen Quantitative EEG for the detection of brain ischemia
[11] E.A. Clancy a, E.L. Morin b, R. Merletti c “Sampling, noise-reduction and amplitude estimation issues in surface electromyography” Journal of Electromyography and Kinesiology 12 (2002) 1–16
[12] M. B. I. Reaz, M. S. Hussain1, F. Mohd-Yasin1 “Techniques of EEG signal analysis: detection, processing, classification and applications” Biol. Proced. Online 2006; 8(1): 11-35.
[13] Analysis of Raw Microneurographic Recordings Based on Wavelet De-Noising Technique and Classification Algorithm: Wavelet Analysis in Microneurography
Andre Diedrich,Warakorn Charoensuk, Student Member, IEEE,Robert J Brychta, Andrew C. Ertl, and Richard Shiavi, Senior Member, IEEE
[14] Fast Algorithms for Wavelet Transform Computation Olivier Rioul, Pierre Duhamel
[15] Wavelet Feature Extraction from Neurophysioligical Signals Mingui Sun, Robert J. Sclabassi
[16] Pega,Z 2003, 'Discrete Wavelet Transform Based Seizure Detection In Newborns EEG Signals', IEEE International Conference on, 2:256-265
[17] Liu,H,S, Zhang,T and Yang,F,S 2002,'A multistage, multimethod approach for automatic detection and classfication of epileptiform EEG',Biomedical Engineering, IEEE Transactions on,12(49):1557-1566
[18] Spike Detection Using the Continuous Wavelet Transform Zoran Nenadic, Member, IEEE and Joel W. Burdick, Member, IEEE
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59506-
dc.description.abstract現行對於缺血性中風的治療多以手術或血栓溶解劑rt-PA的方式來進行治療,但這兩種方式皆有其時效限制。而根據腦中風醫學會的資料指出大部分國人的中風皆發生於睡眠中,而延誤治療的黃金時間,甚至由於無法確認中風確切發生的時間,故只能以就寢時間為基準判定中風時間,導致無法使用rt-PA進行缺血性中風的治療,影響缺血性中風病患的預後。
在相關文獻的探討中,發現有研究者中風患者與正常人的腦波在頻域上的alpha to delta ratio及alpha peak frequency會有差異,進一步的文獻指出缺血性中風腦波的頻率變化與大腦血流量相關。但是在目前的研究結果中尚未看到針對時域、頻域在各波段完整的特徵值分析。故本論文探討20位中風病患,依照中風位置將大腦分為中風區域半影區域及這兩個區域對稱區域的特徵值,分為四個頻段進行時域、頻域及時頻域,總共16個特徵值進行分析比較。並嘗試利用所得到的分析結果進行中風及非中風的演算法判讀。
本論文研究結果發現,中風區的slow alpha ADR、theta FR,半影區的fast alpha PKF、delta PKF在與其對稱區域的比較上皆有顯著差異(p<0.05)。各波段的特徵值中在與正常人腦波特徵值的比較上也有顯著差異。並以theta波的firing rate及delta波段的peak frequency當作偵測缺血性中風演算法的判斷特徵值,在十個包含正常人及缺血性中風病患的判讀實測中其sensitivity為75%、specificity為66.67%。
zh_TW
dc.description.abstractIt is well established in clinics now to use surgical treatment or recombinant tissue plasminogen activator(rt-PA) approach to treatment for ischemic stroke, but both ways have their limitation. According Taiwan Stroke Association data indicate most people in Taiwan stroke in sleep, and miss an opportunity to use rt-PA in ischemic stroke treatment. It will seriously affect patients prognosis.
In literature review, some researchers found that there are some significant different between normal person and stroke patient’s Electroencephalograph (EEG), such as alpha to delta ratio and alpha peak frequency in frequency domain. Further studies found that frequency in stroke patient’s Electroencephalograph have strongly correlate with cerebral blood flow. However, in the current study we haven’t seen the complete results analysis the time domain, frequency domain features in each frequency band. Therefore, this paper discusses 20 stroke patients Electroencephalograph(EEG) signal , according to the stroke area of the brain is divided into four regions, stroke region, penumbra region and these two areas symmetrical region, and divided into four bands in time domain, frequency domain and time-frequency domain, and a total of 16 characteristic values were analyzed and compared. Analysis of the results and try to use in ischemic stroke detection algorithm.
This paper found that, slow alpha to delta ratio(slow alpha ADR) and theta firing rate(theta FR) in stroke area; fast alpha peak frequency(fast alpha PKF) and delta peak frequency(delta PKF) in penumbra area compare with the symmetrical region have significant difference(p <0.05). Each band eigenvalues also have significant differences in comparison with the normal people. And theta firing rate and delta peak frequency are use in ischemic stroke detection algorithm. In the algorithm test, ten people are classify in the algorithm including normal and ischemic stroke patients, the sensitivity was 75% , specificity was 66.67%.
en
dc.description.provenanceMade available in DSpace on 2021-06-16T09:25:58Z (GMT). No. of bitstreams: 1
ntu-106-R02548052-1.pdf: 2767009 bytes, checksum: ec37763cf9403fe63cde78f81af9e911 (MD5)
Previous issue date: 2017
en
dc.description.tableofcontents口試委員會審定書
誌謝
中文摘要………………………………………………………………….…………..P1
ABSTRACT……………………………………………………………………………..P2
目錄…………………………………………………………………….………………..P4
圖目錄…………………………………………………………………………………..P6
表目錄…………………………………………………………………………………..P8
第一章 緒論…………………………………….…………………………………..P9
1.1研究背景………………………………………….…………………………..P9
1.2 研究動機……………………………………………………….…………..P11
1.3 研究目的…………………………………………………….……………..P12
1.4 文獻探討…………………………………………………….……………..P12
1.4.1 腦波介紹………………………………………………………………..P15
1.4.2 以 Electroencephalography(EEG)腦電訊號研究中風的文獻探討.P17
第二章 實驗理論…………………………………………………….…………P19
2.1 EEG訊號的前處理……………………………………………….……...P19
2.2 腦電訊號的訊號分析………………………………………….……..P22
2.2.1 時域分析(time-domain analysis) ……………………………………..P22
5

2.2.2 頻域分析(frequency-domain analysis) ……………………..……….P23
2.2.3 小波轉換(Wavelet Transform) …………………………………..…..P24

第三章 研究方法…………………………………………………..…………..P27
3.1實驗對象…………………………………………………..…………..P27
3.2實驗設備………………………………………………………….……..P32
3.3量測方式…………………………………………………..…….……..P32
3.4分析方法…………………………………………………..…….....…..P33
第四章 結果與討論…………………………………………………………..P35
4.1中風區域與對稱正常區域特徵值比較……………..…..…..P35
4.2半影區域與半影對稱正常區域特徵值比較……..………..P42
4.3中風區域與半影區域特徵值比較……………..………….….P50
4.4中風患者與正常人腦波統計分析……………………...……..P56
4.5中風患者醫學影像與特徵值mapping……………….………..P60
第五章 結論與未來研究……..………..………….………..….………..P64
第六章 參考文獻……..………..……………………..……………..………..P66
附錄
dc.language.isozh-TW
dc.subject傅立葉轉換zh_TW
dc.subject缺血性中風zh_TW
dc.subject中風區zh_TW
dc.subject半影區zh_TW
dc.subject腦波zh_TW
dc.subject小波轉換zh_TW
dc.subjectFourier transformen
dc.subjectischemic strokeen
dc.subjectstroke regionen
dc.subjectischemic penumbraen
dc.subjectElectroencephalograph(EEG)en
dc.subjectwavelet transformen
dc.title缺血性中風病患腦波的時頻分析與小波轉換zh_TW
dc.titleA study of time frequency analysis and wavelet transform of EEG signal in case of ischemic stroke patient'sen
dc.typeThesis
dc.date.schoolyear105-2
dc.description.degree碩士
dc.contributor.coadvisor邱銘章(Ming-Chang Chiu)
dc.contributor.oralexamcommittee劉子銘(Tzu-Ming Liu)
dc.subject.keyword缺血性中風,中風區,半影區,腦波,小波轉換,傅立葉轉換,zh_TW
dc.subject.keywordischemic stroke,stroke region,ischemic penumbra,Electroencephalograph(EEG),wavelet transform,Fourier transform,en
dc.relation.page69
dc.identifier.doi10.6342/NTU201700900
dc.rights.note有償授權
dc.date.accepted2017-06-08
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept醫學工程學研究所zh_TW
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