Course Objectives
After learning this course the students should be able to:
1. Describe the foundations of electroencephalography.
2. Perform quantitative measurement of electroencephalography by their own design and implement system.
3. Understand the fundamental digital signal processing and apply some filters to the wave.
Rubric
| Ideal Level of Achievement (Very Good) | Standard Level of Achievement (Good) | Unacceptable Level of Achievement (Fail) |
| Evaluation 1 | Be able to describe the electroencephalography in detail. | Be able to describe the foundations of electroencephalography. | Be not able to describe the foundations of electroencephalography. |
| Evaluation 2 | Be able to perform quantitative measurement of electroencephalography by their own implement system. | Be able to perform quantitative measurement of electroencephalography | Be not able to perform quantitative measurement of electroencephalography |
| Evaluation 3 | Be able to describe the digital signal processing well and apply some filters to the wave with effect. | Be able to describe the digital signal processing and apply a filter to the wave. | Be not able to describe the digital signal processing |
Assigned Department Objectives
ディプロマポリシー B-5
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JABEE B5
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Teaching Method
Outline:
One of the biological engineering purposes is to find ways in which the structures and functions of living organisms can be used as models for the design and engineering of materials and machines.
This subject focuses on biomedical measurement, beginning with study of electroencephalography(EEG), following to design and implement the measurement devices, following to data acquisition and finally to retrieval and analysis.
Style:
Lectures led by both teacher and students
Design, implement and experimentation by students
Presentations by students
Notice:
Prerequisite: Knowledge of op-amp based circuit, digital signal processing, programming.
This subject is open to students having an interest in biological engineering and information system design with the responsibility to carry out a team project.
The recognition of credit requires 60 points or more rating.
Characteristics of Class / Division in Learning
Course Plan
|
|
|
Theme |
Goals |
| 1st Semester |
| 1st Quarter |
| 1st |
Guidance |
(1) Bio-Information Engineering
(2) Outline of the subject
|
| 2nd |
About electroencephalographs(EEG) |
Study of electroencephalography(EEG) and its measurement system
|
| 3rd |
|
Research of recent developments in applying EEG
|
| 4th |
Measurement of EEG |
Study of instrumentation amplifier
|
| 5th |
|
Study of analogue filters
|
| 6th |
Data aquisition |
Study of analog-to-digital converter
|
| 7th |
|
Study of digital signal processing, suach as FIR filter, FFT and coherent averaging
|
| 8th |
Course Project - Implementation of EEG measurement system |
Plan and discuss the development of the measurement system with teamwork
|
| 2nd Quarter |
| 9th |
|
Understand an individual role in the team and work with responsibility
|
| 10th |
|
Understand an individual role in the team and work with responsibility
|
| 11th |
|
Understand an individual role in the team and work with responsibility
|
| 12th |
Measurement of EEG |
Measurement of EEG or investigation of failure cause
|
| 13th |
Data analysis |
Data analysis and concideration
|
| 14th |
Results briefing |
Presentation and discussion
|
| 15th |
Final exam |
Final exam
|
| 16th |
Summary |
Summarize the study content and confirm grades
|
Evaluation Method and Weight (%)
| Examination | Experimental Participation and Presentation | Behavior | Portfolio | Other | Total |
| Subtotal | 40 | 60 | 0 | 0 | 0 | 100 |
| Basic Ability | 10 | 0 | 0 | 0 | 0 | 10 |
| Technical Ability | 30 | 50 | 0 | 0 | 0 | 80 |
| Interdisciplinary Ability | 0 | 10 | 0 | 0 | 0 | 10 |