2019 Measurement of Brain Function

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Graduate major in Information and Communications Engineering
Instructor(s)
Koike Yasuharu 
Course component(s)
Lecture     
Day/Period(Room No.)
Tue3-4(G224)  
Group
-
Course number
ICT.H509
Credits
1
Academic year
2019
Offered quarter
2Q
Syllabus updated
2019/4/9
Lecture notes updated
-
Language used
English
Access Index

Course description and aims

This course introduces the measurement methods for biological signals.
This course aims at providing the basic knowledge of brain measurement system.

Student learning outcomes

By completing this class, students will be able to
1) understand the methodology of measurement and analysis for brain signals.
2) Based on (1), understand their applications.

Keywords

EEG, fMRI, EMG

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Each topic will be explained with lecture notes.

Course schedule/Required learning

  Course schedule Required learning
Class 1 invasive and non-invasive method Understand of invasive and non-invasive method
Class 2 measurement of neural signals Understand of measurement of neural signals
Class 3 anatomy of brain Understand of anatomy of brain
Class 4 brain function Understand of brain function
Class 5 analysis of biological signals Understand of analysis of biological signals
Class 6 EEG Understand of EEG
Class 7 analysis of brain signals Understand of analysis of brain signals
Class 8 analysis of brain signals Understand of analysis of brain signals

Textbook(s)

No text book

Reference books, course materials, etc.

to be announced

Assessment criteria and methods

The above target is evaluated by final exam 60%, exercises 40%.

Related courses

  • ICT.H422 : Computational Brain

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Without any requirements

Page Top