NCHU Course Outline
Course Name (中) 智慧醫學電子(6744)
(Eng.) Smart Medical Electronics
Offering Dept Intelligence Science, Engineering and Technology Master Degree Program
Course Type Elective Credits 3 Teacher CHING TAK SHING
Department Intelligence Science, Engineering and Technology Master Degree Program/Graduate Language English Semester 2024-FALL
Course Description The application of electronics and artificial intelligence on medicine can help for medical diagnosis.
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
(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.
Discussion
Other
Lecturing
Attendance
Oral Presentation
Assignment
Quiz
Other
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 Course Introduction
Week 2 The Origin of Biopotentials
Week 3 Operational Amplifier (Op Amp) Circuits and Its Biomedical Applications
Week 4 Active Analog Filters
Week 5 Physiological Transducers
Week 6 Lab. Experiments: Op Amp Circuits, Active Analog Filters and Physiological Transducers
Week 7 Lab. Experiments: Op Amp Circuits, Active Analog Filters and Physiological Transducers
Week 8 Electrocardiogram (ECG) Measurement
Week 9 Mid-term Exam
Week 10 Lab. Experiment: ECG Measurement
Week 11 Lab. Experiment: ECG Measurement
Week 12 Group Project Presentation
Week 13 Measurement of Electromyogram (EMG), Electrooculogram (EOG) and Electroencephalogram (EEG)
Week 14 Measurement of Body Temperature and Breathing Rate
Week 15 Fourier analysis, Fourier transform, digital filter design and discrete Fourier transform, short-time Fourier transform, wavelet transform and time-frequency analysis
Week 16 Artificial intelligence on medicine
Week 17 Self-directed Learning (Video appreciation and discussion on topics related to Smart Medical Electronics)
Week 18 Self-directed Learning (Video appreciation and discussion on topics related to Smart Medical Electronics)
Evaluation
Attendance 10%, Assignment 10%, Midterm exam 30%, Group Project Presentation 40%, Class participation 10%

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, ElsevierAcademic Press, 2005
5. Reddy DC. Biomedical Signal Processing: Principles and Technique, McGraw-HillPublishing Company Limited, 2005
Teaching Aids & Teacher's Website
iLearning information exchange platform
Office Hours
Thursday: 12:00~13:00
Sustainable Development Goals, SDGs
include experience courses:N
Please respect the intellectual property rights and use the materials legally.Please repsect gender equality.
Update Date, year/month/day:2024/08/19 09:59:25 Printed Date, year/month/day:2024 / 10 / 07
The second-hand book website:http://www.myub.com.tw/