P75c600 biomedical signal processing
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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. 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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P75c600 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/


P75c600 biomedical signal processing

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。


P75c600 biomedical signal processing

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


P75c600 biomedical signal processing

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%


P75c600 biomedical signal processing

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:[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


P75c600 biomedical signal processing

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


P75c600 biomedical signal processing

分析軟體

EEGLAB

MATLAB


P75c600 biomedical signal processing

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


P75c600 biomedical signal processing

Computer-aided diagnosis and therapy

Biomedical Signal Analysis


Signal acquisition

Signal Acquisition

Single channel EEG

Multi-type polysomnography

Multi-channel EEG


Electroencephalogram eeg signals

EEG rhythms

N1

N2

uV

+

P300

P100

P2

N150

Electroencephalogram (EEG)-Signals

  • Event related potentials

VEP

AEP


Electrocardiogram ecg

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


P75c600 biomedical signal processing

Artifact Removal


T f analysis spike and wave discharge

T-F Analysis: Spike and Wave Discharge

Seizure

SWS

Artifact


P75c600 biomedical signal processing

On-Line Seizure Detection


P75c600 biomedical signal processing

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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