| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
The goal of this course is to give the student a through introduction to the use of electronic circuits for the preconditioning, acquisition and display of biomedical signals, like electrocardiogram (ECG), electromyogram (EMG) and etc.
This course also aims to teach students not just biomedical analog signal processing but also biomedical digital signal processing algorithm.
Course core competencies include:
Professional knowledge in biomedical field.
Ability to plan and execute research topics and express research results. |
| 1.Possess professional knowledge in biomedical engineering. |
| 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. |
|
|
| Discussion |
| Other |
| Lecturing |
|
| Oral Presentation |
| Attendance |
| Quiz |
| Other |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Anatomy and Physiology on Physiological/Biomedical signals: Action potential, Electrical signal conduction system of heart, ECG characteristic and arrhythmia |
| Week 2 |
The Origin of Physiological/Biomedical signals: EEG, ECG, EMG, EOG, ERG, PCG |
| Week 3 |
Operational Amplifier Circuits, Active Analog Filters, and their Biomedical Applications |
| Week 4 |
Analog readout circuit design, Analog to Digital Conversion and Microcontroller |
| Week 5 |
Discrete-Time Signal and System |
| Week 6 |
Z Transform |
| Week 7 |
Digital Filter Design |
| Week 8 |
Group Assignment and Discussion |
| Week 9 |
Mid-term exam |
| Week 10 |
ECG signal processing: QRS Detection - Pan-Tompkins algorithm, Heart Rate Variability |
| Week 11 |
EMG signal processing: rectification, filtering, averaging, integration, root mean square, frequency analysis, and etc. |
| Week 12 |
EEG signal processing: Filtering, power spectral, ERP |
| Week 13 |
Group Assignment and Discussion |
| Week 14 |
Quiz |
| Week 15 |
Time-Frequency Analysis |
| Week 16 |
Discrete wavelet transform |
| Week 17 |
Continuous wavelet transform |
| Week 18 |
Group Assignment and Presentation |
|
| Evaluation |
| Class participation 10%, Quiz 10%, Midterm exam 40%, Group Project Presentation 40% |
| Textbook & other References |
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, Elsevier Academic Press, 2005
5. Reddy DC. Biomedical Signal Processing: Principles and Technique, McGraw-Hill Publishing Company Limited, 2005 |
| Teaching Aids & Teacher's Website |
| iLearning information exchange platform |
| Office Hours |
| Thursday: 1600~1700 |
| Sustainable Development Goals, SDGs |
| include experience courses：N |
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