| 課程與核心能力關聯配比(%) |
課程目標之教學方法與評量方法 |
| 課程目標 |
核心能力 |
配比(%) |
教學方法 |
評量方法 |
(1) This course will give a brief introduction on electronic circuit design for biopotential and physiological signals detection.
(2) This course also teaches students on various biomedical digital signal processing algorithm, like Fourier analysis, Fourier transform, digital filter design and discrete Fourier transform, short-time Fourier transform, wavelet transform and time-frequency analysis.
(3) This course also teaches students how to use artificial intelligence to judge biomedical signals. |
| 1.Possess professional knowledge in smart medical devices, smart manufacturing or smart management. |
| 2.Plan and implement research projects, and have the ability to solve problems independently. |
| 3.Ability to write scientific papers and communicate research results effectively. |
| 4.Integration in interdisciplinary research and innovative research skills. |
| 5.Possess insightful perspective on industry and globalization. |
| 6.Capability of leadership, management, planning, communication and lifelong learning. |
|
|
|
|
| 授課內容(單元名稱與內容、習作/每週授課、考試進度-共16週加自主學習) |
| 週次 |
授課內容 |
| 第1週 |
Course Introduction |
| 第2週 |
The Origin of Biopotentials |
| 第3週 |
Operational Amplifier (Op Amp) Circuits and Its Biomedical Applications |
| 第4週 |
Active Analog Filters |
| 第5週 |
Physiological Transducers |
| 第6週 |
Lab. Experiments: Op Amp Circuits, Active Analog Filters and Physiological Transducers |
| 第7週 |
Lab. Experiments: Op Amp Circuits, Active Analog Filters and Physiological Transducers |
| 第8週 |
Electrocardiogram (ECG) Measurement |
| 第9週 |
Mid-term Exam |
| 第10週 |
Lab. Experiment: ECG Measurement |
| 第11週 |
Lab. Experiment: ECG Measurement |
| 第12週 |
Group Project Presentation |
| 第13週 |
Measurement of Electromyogram (EMG), Electrooculogram (EOG) and Electroencephalogram (EEG) |
| 第14週 |
Measurement of Body Temperature and Breathing Rate |
| 第15週 |
Fourier analysis, Fourier transform, digital filter design and discrete Fourier transform, short-time Fourier transform, wavelet transform and time-frequency analysis |
| 第16週 |
Artificial intelligence on medicine
Self-directed Learning (Video appreciation and discussion on topics related to Smart Medical Electronics)
Self-directed Learning (Video appreciation and discussion on topics related to Smart Medical Electronics) |
自主學習
內容 |
|
|
| 學習評量方式 |
Attendance 10%, Assignment 10%, Midterm exam 30%, Group Project Presentation 40%, Class participation 10%
|
| 教科書＆參考書目(書名、作者、書局、代理商、說明) |
1. Horowitz P and Hill W. The Art of Electronics, 2nd ed., Cambridge University Press, 1989
2. Dorf RC and Svoboda JA. Introduction to Electric Circuits, 5th ed., John Wiley & Sons, 2001
3. Webster JG. Medical Instrumentation: Application and Design, 3rd ed., John Wiley &Sons,1997
4. Enderle J, Bronzino J, Blanchard S. Introduction to Biomedical Engineering, ElsevierAcademic Press, 2005
5. Reddy DC. Biomedical Signal Processing: Principles and Technique, McGraw-HillPublishing Company Limited, 2005 |
| 課程教材（教師個人網址請列在本校內之網址） |
| iLearning information exchange platform |
| 課程輔導時間 |
| Thursday: 12:00~13:00 |
| 聯合國全球永續發展目標(連結網址) |
|
|