In recent years, technologies in which a living body and an artificial system are directly coupled, such as Brain-computer
interface (BCI), have been developed. This lecture mainly treats the BCI and its element technologies, namely, neuroscience,
bioinstrumentation, signal/information processing and their integration, especially for Electroencephalography (EEG)-based
BCI. This lecture also treats modeling biological phenomena and biomimetic information processing. This lecture also treats
topics of research ethics and informed consent, which are required for conducting experiments using human subjects, such as
informed consent.
The purpose of this course is to learn basics of biology and physiology, measuring biological signals, signal processing,
information processing, and system integration which are required for understanding BCI techniques, as well as modeling biological
phenomena, biomimetic information processing and ethics in human research. Through learning the topics, students acquire wide
view required for developing bionic systems.
- Can understand a living body, bioinstrumentation, signal/information processing, which are required for bionic engineering, especially for BCI
- Can understand modeling biological phenomena and biomimetic information processing
- Can understand research ethics required for conducting experiments using human subjects
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1． | Bionic engineering ・Overview of Brain-computer interface |
materials distributed in the class | 190minutes |
| 2． | Introduction of brain science ・Overview the brain: from neuron to brain |
materials distributed in the class | 190minutes |
| 3． | Electroencephalography (EEG) (1) ・Principles of EEG ・Methods of EEG |
materials distributed in the class | 190minutes |
| 4． | Electroencephalography (2) ・Reading EEG ・Event-related potentials |
materials distributed in the class | 189minutes |
| 5． | EEG based-BCI Brain activity measurement (1) ・Magnetoencephalography (MEG) |
materials distributed in the class | 190minutes |
| 6． | Brain activity measurement (2) ・Coordinates of brain ・Magnetic resonance imaging (MRI) |
materials distributed in the class | 189minutes |
| 7． | Brain activity measurement (3) ・Functional magnetic resonance imaging (fMRI) |
materials distributed in the class | 190minutes |
| 8． | Brain activity measurement (4) ・Functional magnetic resonance imaging (fMRI) Research ethics in human research |
materials distributed in the class | 190minutes |
| 9． | Signal/information processing used for BCI ・Signal processing ・Discrimination analysis |
materials distributed in the class | 189minutes |
| 10． | Mathematical models of biological phenomena and their application (1) ・Mathematical models of biological phenomena |
materials distributed in the class | 190minutes |
| 11． | Mathematical models of biological phenomena and their application (2) ・Biomimetic information processing |
materials distributed in the class | 190minutes |
| 12． | Problem setting and Literature investigation on bionic and biomimetic engineering | materials distributed in the class | 190minutes |
| 13． | Presentations on bionic and biomimetic engineering | materials distributed in the class | 190minutes |
| 14． | Discussions on bionic and biomimetic engineering | materials distributed in the class | 180minutes |
| Total. | - | - | 2647minutes |
| assignments | presentation | Total. | |
|---|---|---|---|
| 1. | 40% | 50% | 90% |
| 2. | 7% | 7% | |
| 3. | 3% | 3% | |
| Total. | 50% | 50% | - |
Grade is judged by assignments in each class (50%) and presentations in the class (50%).
60% of evaluation requires conducting survey, understanding and making presentation for basic technologies required for conducting system development of bionic systems by interdisciplinary view.
60% of evaluation requires conducting survey, understanding and making presentation for basic technologies required for conducting system development of bionic systems by interdisciplinary view.
Reference book: ブレインサイエンスレクチャー３「脳のイメージング」、宮内 哲・星 詳⼦・菅野 巖・栗城眞也著・徳野 博信編、共⽴出版: used in assignments
Foundations of electric and electronic circuits (amplifier), signal processing, industrial mathematics (Differential and integral
calculus, linear algebra, statistics)
- Lunch break on Friday: Making appointment is recommended.
- Course that cultivates an ability for utilizing knowledge
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| Applicable | Utilizing the experience in research works on functional brain imaging in an institute of research, basics of biology and physiology, measuring biological signals, signal processing, information processing, system integration, biomimetic technologies, and ethics are explained. |
Last modified : Sun Mar 21 16:46:15 JST 2021