1. P75C600 生醫訊號處理 Biomedical Signal Processing
梁 勝 富
成功大學 資訊工程系
Office: 資訊系館 12F 65C06, Tel: Ext
Lab:神經運算與腦機介面實驗室 (3F 65301)

2. 課程目標
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。

3. 參考書目
Biomedical Signal Analysis, Rangaraj M. Rangayyan, Wiley, ISBN:
Biosignal and Biomedical Image Processing, John L. Semmlow, Marcel Dekker, ISBN:
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:
Assigned papers

4. 課程進行方式及評分標準 課程進行方式: 評分標準: 以講演為主搭配相關實驗進行。 論文與專題報告。 Presence 10%
Homework/Project 60%
Oral presentation 15%
Paper presentation 15%

5. 課程進行方式及評分標準 Office Hours 每週三 上午10:30~12:00 地點：資訊系館 12F 65C06
TEL: 助教
林伯睿:
林家宏:
Lab:神經運算與腦機介面實驗室 (資訊新館65301R)
TEL: ext ext.2301

6. 課程綱要 Introduction to biomedical signals Typical Measurement System
Analog Signal Processing
Time-domain Analysis
Frequency-domain Analysis
Time-Frequency Analysis
Correlation and Convolution
Filtering
Notch and Comb filters
Optimal filters and Adaptive filters
Pan-Tompkins Algorithm
ECG and Atrial Fibrillation
Brain Computer Interface
Principle Component Analysis
Independent Component Analysis
Selected Topics
Presentation and Discussion

7. 分析軟體
MATLAB
EEGLAB

8. Biomedical Signal Analysis
A complete biomedical signal Analysis System:
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

9. Biomedical Signal Analysis
Computer-aided diagnosis and therapy

10. Signal Acquisition Multi-channel EEG Multi-type polysomnography
Single channel EEG

11. Electroencephalogram (EEG)-Signals
EEG rhythms
Event related potentials
P300
N150
P100 uV +
VEP N1 P2 N2
AEP

12. Electrocardiogram (ECG)
P wave: atria contraction, mV, 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, ms
T wave: ventricle repolarization (relaxation), mV, ms

13. Artifact Removal

14. T-F Analysis: Spike and Wave Discharge
Seizure
SWS
Artifact

15. On-Line Seizure Detection

16. HW 0 Matlab Chapter 1 Introduction to Biomedical Signals in
Quick MATLAB Tutorial
MATLAB Primer
MATLAB Educational Sites
Chapter 1 Introduction to Biomedical Signals in
Biomedical Signal Analysis, Rangaraj M. Rangayyan, Wiley, ISBN: