課程大綱及進度表

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課程概述
教學目標
授課課程大綱明細
課程大綱及進度表
醫工所
99
1
生物醫學訊號處理
Biomedical Signal Processing
P810600
Basic programming skill and Engineering Mathematics
3
陳家進
Jason@jason.bme.ncku.edu.tw
63423
Thursday: 16:30-17:30
 Cover both stochastic and deterministic types of
biomedical signal processing techniques
 Focus on more biomedical data analysis and interpretation
 Use computer program to illustrate the singal processing
concepts
 To understand the characteristics of biomedical signals
 Hand on experience on biomedical signal processing using
simulated biomedical signals and real data
 Exercise varied types of signal enhancement techniques
Build essential background and feature extraction
techniques for signal classification
(A) Introduction to Biological Signal and Time Domain Analysis
(1) Characteristics of Biological Signals
(2) Introduction to MATLAB language
(3) Empirical Modeling Using Matlab
(4) Operations on Random Variables
(5) Correlation and Coherent Averaging
(B)Frequency Domain Analysis and Digital Filtering
(1) Review of Fourier Series
(2) Fourier Transform
(3) Discrete Fourier Transform
(4) Digital Filtering Design (Windowing Methods)
(5) Digital Filtering Design: Frequency Domain Approaches
(6) IIR and FIR Filtering
(C) Modeling of Stochastic Process
(1) Time Series Analysis
(2) Moving Average (MA) Process
(3) Autoregressive (AR) Process
(4) Modern Power Spectral Analysis
(5) Linear Prediction and Parameter Extraction
參考書目
(D) Special Topics on Biomedical Signal Processing
(1) Coherence Functions
(2) Applications of Adaptive Filtering to Biomedical Signal
Processing
(3) Time-Frequency Domain Analysis
(4) Written Exam or Final Term Project presentation
Textbooks:
Richard Shiavi, Introduction to Applied Statistical Signal
Analysis, 2nd Ed. Academic Press, 1999.
課程要求
評量方式
課程網址
助教資訊
備註
Chi-Tsong Chen, Digital Signal Processing: Spectral
Computation and Filter Design, Oxford University Press,
2001.
 Taught in English since 2004
 Final project presentation in English (starting from 2007)
 Complete all the homework without any miss or
plagiarization
Homework: 60% Final project: : 40 %
140.116.84.117
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