Transcript P75C600 生醫訊號處理Biomedical Signal Processing

P75C600 生醫訊號處理
Biomedical Signal Processing
梁 勝 富
成功大學 資訊工程系
[email protected]
Office: 資訊系館 12F 65C06, Tel: Ext. 62549
Lab:神經運算與腦機介面實驗室 (3F 65301)
http://ncbci.csie.ncku.edu.tw/
課程目標
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奠定學生生醫訊號處理基礎，並熟悉生
醫訊號量測與分析技術(ex.EEG, EKG)，
以實際生理訊號為分析標的，培養具備
生醫資訊整合與應用能力的人才。
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參考書目
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Biomedical Signal Analysis, Rangaraj M. Rangayyan,
Wiley, ISBN: 0-471-20811-62.
Biosignal and Biomedical Image Processing, John L.
Semmlow, Marcel Dekker, ISBN: 0-8247-4803-4 3.
N.V. Thakor and S. Tong, Advances in quantitative
electroencephalogram analysis methods, Annu. Rev.
Biomed. Eng. 6 (2004), pp. 453–495.
Biomedical Signal Processing and Signal Modeling,
Eugene N. Bruce, Wiley, ISBN: 0-471-34540-74.
Assigned papers
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課程進行方式及評分標準
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課程進行方式:
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以講演為主搭配相關實驗進行。
論文與專題報告。
評分標準:
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Presence 10%
Homework/Project 60%
Oral presentation 15%
Paper presentation 15%
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課程進行方式及評分標準
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Office Hours
 每週三 上午10:30~12:00
 地點：資訊系館 12F 65C06
 TEL: 06-2757575-62549
助教
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雲泰傑:[email protected]
林伯睿: [email protected]
林家宏: [email protected]
Lab:神經運算與腦機介面實驗室 (資訊新館65301R)
TEL: 06-275-7575 ext.62530 ext.2301
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課程綱要
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Introduction to biomedical signals
Typical Measurement System
 Principle Component Analysis
Analog Signal Processing
 Independent Component Analysis
Time-domain Analysis
 Selected Topics
Frequency-domain Analysis
 Presentation and Discussion
Time-Frequency Analysis
 Presentation and Discussion
Correlation and Convolution
Filtering
Notch and Comb filters
Optimal filters and Adaptive filters
Pan-Tompkins Algorithm
ECG and Atrial Fibrillation
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Brain Computer Interface
分析軟體
MATLAB
EEGLAB
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Biomedical Signal Analysis
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A complete biomedical signal Analysis
System:
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Signal data Acquisition
 Sensor and transducers
 Amplifiers and filters
 Analog to digital conversion
Signal Processing
 Filtering to remove artifacts
 Detection of events and components
Signal Analysis
 Analysis of events and waves
 Feature extraction
 Pattern recognition and classification
 Diagnostic decision
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Biomedical Signal Analysis
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Computer-aided diagnosis and therapy
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Signal Acquisition
Multi-channel EEG
Multi-type polysomnography Single channel EEG
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Electroencephalogram (EEG)-Signals
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EEG rhythms
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Event related potentials
VEP
u
V
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P300
P100
N150
N1
N2
AEP
P2
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Electrocardiogram (ECG)
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P wave: atria contraction, 0.1-0.2mV, 60-80ms
PQ segment: propagation delay at atrio-ventricular node,60-80ms
QRS wave: ventricle contraction, 1mV, 80ms
ST segment: slow action potential of ventricular muscle cells, 100-120ms
T wave: ventricle repolarization (relaxation), 0.1-0.3mV, 120-160ms
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Artifact Removal
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T-F Analysis: Spike and Wave
Discharge
Seizure
SWS
Artifact
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On-Line Seizure Detection
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HW 0
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Matlab
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Quick MATLAB Tutorial
http://iul.eng.fiu.edu/Teaching/PatternRecognition/Course/Spring
2004/Quick%20Matlab%20Tutorial.pdf
MATLAB Primer
http://ise.stanford.edu/Matlab/matlab-primer.pdf
MATLAB Educational Sites
http://www.eece.maine.edu/mm/matweb.html
Chapter 1 Introduction to Biomedical Signals in
Biomedical Signal Analysis, Rangaraj M. Rangayyan,
Wiley, ISBN: 0-471-20811-62.
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