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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 sfliang@mail.ncku.edu.tw 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. 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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P75C600 生醫訊號處理 Biomedical Signal Processing

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  1. P75C600 生醫訊號處理Biomedical Signal Processing 梁 勝 富 成功大學 資訊工程系 sfliang@mail.ncku.edu.tw 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/

  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: 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

  4. 課程進行方式及評分標準 • 課程進行方式: • 以講演為主搭配相關實驗進行。 • 論文與專題報告。 • 評分標準: • 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: 06-2757575-62549 • 助教 • 雲泰傑:denny61302@gmail.com • 林伯睿:borruey@gmail.com • 林家宏: jiahonglin17@gmail.com • 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

  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 • Presentation and Discussion

  7. 分析軟體 EEGLAB MATLAB

  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. Computer-aided diagnosis and therapy Biomedical Signal Analysis

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

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

  12. Electrocardiogram (ECG) • 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

  13. Artifact Removal

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

  15. On-Line Seizure Detection

  16. HW 0 • Matlab • Quick MATLAB Tutorial • http://iul.eng.fiu.edu/Teaching/PatternRecognition/Course/Spring2004/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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