Research related to medical engineering requires various programming techniques for measurement, control, and data analysis.
In this exercise, students will learn the basics of programming technology, focusing on the development of embedded devices,
biological signal analysis, and image analysis required in the medical engineering field. First, through basic embedded device
development exercises using MicroPython, students will learn the basics of I/O control methods, which are elemental technologies
necessary for the development of medical and welfare devices. Next, students will learn programming using MATLAB from the
basics, and practice biosignal analysis techniques for things such as brain waves. Afterwards, students will deepen their
understanding of programming applications in the medical engineering field through image analysis exercises related to bioimaging
of cells and other subjects. Through the above exercises, students will acquire the basics of programming techniques necessary
for research and development in a wide range of biomedical engineering fields.
Learn the basics of mechatronics technology through embedded device development using MicroPython and I/O control exercises.
In addition, through exercises such as biological signal analysis and image analysis using MATLAB, students will acquire the basics of programming techniques that apply mathematics and computational science techniques to various data related to medical engineering.
In addition, through exercises such as biological signal analysis and image analysis using MATLAB, students will acquire the basics of programming techniques that apply mathematics and computational science techniques to various data related to medical engineering.
- Using MicroPython, you can create programming to operate I/O devices operated by RaspberryPi Pico.
- Ability to perform basic operations such as numerical calculations and graph display, and create programs using MATLAB.
- Basic biological signal analysis can be performed using MATLAB.
- Ability to perform basic image processing using MATLAB.
| Exercise assignment submissions | Total. | |
|---|---|---|
| 1. | 20% | 20% |
| 2. | 20% | 20% |
| 3. | 30% | 30% |
| 4. | 30% | 30% |
| Total. | 100% | - |
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1. | Overall guidance Overview of programming in medical engineering Programming using MicroPython, IO programming (1) |
Review of I/O operation program creation using MicroPython | 200minutes |
| 2. | Programming using MicroPython, IO programming (2) | Review of I/O operation program creation using MicroPython | 200minutes |
| 3. | Programming using MicroPython, IO programming (3) | MicroPythonを用いたI/O操作プログラム作成の復習 | 200minutes |
| 4. | General guidance to attend this practical lecture. Simple programming using MATLAB. |
Study MATLAB commands. | 200minutes |
| 5. | Making many kinds of graphs and data visualization using MATALAB. | Study how to make graphs. | 200minutes |
| 6. | Image analysis using MATLAB, such as binarization from color image or gray scale image. | For Image analysis, you should study on color image, gray scale image, and binary image. | 300minutes |
| 7. | Morphological image analysis such as shape and its area's evaluation | Students should study how to perform Morphological analysis. | 200minutes |
| 8. | Labelling, and movie analysis | Time series image analysis and labelling can be studied after this practical lecture. | 200minutes |
| 9. | Bio-signal processing using MATLAB1 | Review what you have studied in your lecture. | 200minutes |
| 10. | Bio-signal processing using MATLAB2 | Review what you have studied in your lecture. | 200minutes |
| 11. | Bio-signal processing using MATLAB3 | Review what you have studied in your lecture. | 200minutes |
| 12. | Bio-signal processing using MATLAB4 | Review what you have studied in your lecture. | 200minutes |
| 13. | Fundamental information on Python programming1 | Review what you have studied in your lecture. | 200minutes |
| 14. | Fundamental information on Python programming2 | Review what you have studied in your lecture. | 200minutes |
| 15. | Fundamental information on Python programming3 | Review what you have studied in your lecture. | 200minutes |
| Total. | - | - | 3100minutes |
Students should be evaluated with presented assignments at each class. Criteria should be 60% against summarized scores of
all assignments.
| ways of feedback | specific contents about "Other" |
|---|---|
| Feedback in the class |
Any students who are interested in MATLAB and Python software and data visualization, fundamental in programming, and controlling
technology.
Beforehand to this class, attending students should install Matlab （Image processing tool box, Signal Processing tool box, Statistics and Machine Learning tool box).
Beforehand to this class, attending students should install Matlab （Image processing tool box, Signal Processing tool box, Statistics and Machine Learning tool box).
- Lecturers recommend students to ask to lecturers during lecture time or right after the class within 30 min.
- Anytime you can email to lectures for appointment for discussion if you need additional questions.
- Course that cultivates a basic problem-solving skills
- Course that cultivates a basic self-management skills
- Course that cultivates a basic interpersonal skills
- Course that cultivates an ability for utilizing knowledge
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| N/A | N/A |
- 3.GOOD HEALTH AND WELL-BEING
- 4.QUALITY EDUCATION
- 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Thu Feb 27 10:45:16 JST 2025