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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 趙福杉(Fu-Shan Jaw) | |
| dc.contributor.author | Wen-Chien Liao | en |
| dc.contributor.author | 廖文劍 | zh_TW |
| dc.date.accessioned | 2021-06-15T06:44:54Z | - |
| dc.date.available | 2011-07-07 | |
| dc.date.copyright | 2011-07-07 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-06-28 | |
| dc.identifier.citation | [1] John G. Nicholls from Neuron to Brain 4th edition Chap5 Ionic Basis of the Resting Potential Chap6 Ionic Basis of the Action Potential P77-112
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48037 | - |
| dc.description.abstract | 目的: 是建立一套完整的自律神經電生理測量診斷預測系統。藉由研究膀胱過動症，從周邊神經系統中，記錄自律神經控制膀胱的機制，從而了解整個自律神經系統。方法: 本研究之方法是記錄自律神經，控制膀胱的解尿動作，建立一套完整的自律神經電生理測量，診斷預測，治療預後評估系統，並以此系統進行多通道自律神經電生理實驗之初期研究。所完成的系統包括了自製的非侵入式記錄電極、雙天線偵測、放大器、濾波器、類比至數位轉換介面卡、及多頻道神經肌肉刺激器、及時頻及熵分析軟體等，構成了一個完整的記錄、預測、分析、診斷及治療預後追蹤系統。結果︰記錄自律神經控制膀胱，建立一套完整的自律神經電生理，透過實驗資料分析，得到測量診斷膀胱過動症理論，得到滿意結果。結論︰利用此系統理論，解決了有關自律神經記錄的幾個重要問題，例如: 確定了交感神經與副交感神經兩種電訊號大量訊息傳遞的最佳濾波頻寬、交感神經、副交感神經動作電位記錄的量化，各項參數 (平均次數、刺激頻率、空間取樣密度、時間取樣間隔) 及建立選擇性刺激自律神經纖維的方法等。這些資料及方法，將對研究周邊神經系統中，自律神經系統控制下的五臟六腑，各個不同器官機制有所幫助。 | zh_TW |
| dc.description.abstract | The purpose of this study was to establish a complete system for electrophysiological diagnosis based on the autonomic nervous system. This study focused on overactive bladder syndrome as we recorded and analyzed the peripheral nervous system of the urinary bladder. Method: The impulses of the peripheral nervous system were recorded during micturition. Electrophysiological data were used for early diagnosis and prognosis after treatment in an early stage multichannel study. Materials include an improvised non-invasive electrode, double antennae, a filter, an analog-to-digital conversion card, a multifrequency stimulator, and a time frequency and neuroentrophy analysis program. A program was developed for recording, analysis, diagnosis, treatment selection, and prognosis. The data were analyzed to develop a theorem based on the study of overactive bladder. Conclusion: We can diagnosis and treat various dysfunctions of the autonomic nervous system. Sympathetic and parasympathetic neural impulses are passed through a band filter where the action potentials are quantified. Using parameters like average cycles, stimulus frequency, spatial sampling interval, and temporal sampling interval, we can isolate a specific neural impulse for study. This method can help us evaluate the status of different organ systems and determine appropriate treatments based on an early prognostic value derived from studies of appropriate treatments based on an early prognostic value derived from studies of autonomic neural electrophysiology. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T06:44:54Z (GMT). No. of bitstreams: 1 ntu-100-D93548001-1.pdf: 15672193 bytes, checksum: a5a687bde1762efaf0f105fa79667652 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 口試委員會審定書 ........................................................................................................... #
誌謝 ……………………………………………………………………………i 中文摘要 …………………………………………………………………………...ii ABSTRACT …………………………………………………………………………..iii CONTENTS …………………………………………………………………………..iv LIST OF FIGURES ...................................................................................................... vii LIST OF TABLES ....................................................................................................... xiii Chapter 1 Introduction .............................................................................................. 1 1.1 Introduction .............................................................................................. 1 1.1.1 A noninvasive method to measure and quantify the ANS ......................... 1 1.1.2 Basic physiology of the heart ....................................................................... 5 1.1.3 The History of Heart Rate Variability........................................................ 6 1.1.4 Experiment and Method .......................................................................... 10 1.1.5 Result ........................................................................................................... 11 1.1.6 Conclusion ................................................................................................ 14 1.2 Physiological background knowledge .................................................. 15 1.2.1 Physiological knowledge ............................................................................. 15 1.2.2 Low urinary neuromuscular knowledge................................................... 20 1.2.3 Overactive Bladder Syndrome .................................................................. 23 1.3 Physical Knowledge ............................................................................... 28 1.3.1 Physical Background Knowledge .............................................................. 28 1.3.2 Time-Frequency Domain Analysis ............................................................ 36 1.3.3 Time-Frequency Domain Analysis ............................................................ 38 1.3.4 Applied Quantum Mechanics .................................................................... 42 1.3.5 Wavelet Transform ..................................................................................... 46 1.4 ANS frequency and Entropy analysis .................................................. 56 Chapter 2 ANS Electrophysical experiment .......................................................... 61 2.1 Recording Electrode .............................................................................. 61 2.1.1 Recording Electrode ................................................................................... 61 2.1.2 Recording Electrode photosensor ............................................................. 65 2.1.3 Finger photosensor signal .......................................................................... 67 Chapter 3 Autonomic Nervous System Electrical Physical Experiment ............ 71 3.1 Materials and Methods .................................................................... 71 3.1.1 Materials ...................................................................................................... 71 3.1.2 Methods ....................................................................................................... 73 3.2 Statistical Analysis .................................................................................. 75 3.2.1 Statistics ....................................................................................................... 75 3.3 Autonomic nervous system 3D-Spectrogram analysis ........................ 83 3.4 Autonomic nervous system entropy analysis ....................................... 86 3.5 Statistics .................................................................................................. 88 3.5.1 Basic Statistics ............................................................................................. 88 3.5.2 Differential, Matlab Analysis ..................................................................... 91 3.5.3 FIR Filter ..................................................................................................... 93 3.5.4 ANS Time-Frequency Analysis .................................................................. 94 3.5.5 Enhanced Morlet Transform ..................................................................... 97 3.6 Autonomic nervous system non-linear Analysis .................................. 99 3.6.1 Neuron Entropy Analysis ........................................................................... 99 3.6.2 Autonomic nervous system 3D-Spectrogram Analysis .......................... 101 Chapter 4 Application (Clinic use) ....................................................................... 108 4.1 Obstetrics and Gynecology.................................................................. 108 4.1.1 Introduction .............................................................................................. 108 4.1.2 Case 1 ......................................................................................................... 111 4.1.3 Case 2 ......................................................................................................... 114 4.1.4 Discussion .................................................................................................. 116 4.2 Cardiology ............................................................................................ 128 4.2.1 Sudden death, Infarction Atrial Fibrillation .......................................... 128 4.3 Discussion.............................................................................................. 137 REFERENCE .............................................................................................................. 139 | |
| dc.language.iso | zh-TW | |
| dc.subject | 交感神經 | zh_TW |
| dc.subject | 自律神經 | zh_TW |
| dc.subject | 副交感神經 | zh_TW |
| dc.subject | 膀胱過動症 | zh_TW |
| dc.subject | Sympathetic nerve | en |
| dc.subject | autonomic nervous system | en |
| dc.subject | parasympathetic nerve | en |
| dc.subject | overactive bladder | en |
| dc.title | 非侵入式量測自律神經和3D頻譜與熵分析 | zh_TW |
| dc.title | A Noninvasive Method for 3D-Spectrogram Entropy Analysis of the Autonomic Nervous System | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.oralexamcommittee | 郭德盛(De-Sheng Guo),黃榮山(L.-S. Huang),黃基礎(Ji-Chuu Hwang),陳右穎(You-Yin Chen) | |
| dc.subject.keyword | 自律神經,交感神經,副交感神經,膀胱過動症, | zh_TW |
| dc.subject.keyword | autonomic nervous system,Sympathetic nerve,parasympathetic nerve,overactive bladder, | en |
| dc.relation.page | 151 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-06-28 | |
| 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 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-100-1.pdf 未授權公開取用 | 15.3 MB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。