Introduction to Biosignal

OGAWA, Mitsuhiro
  Elective  2 credits
【 Informatics Science〈Correspondence Course〉(Master's Degree Program)・full year】
19-3-1721-3315

1.
Outline
In this lecture course, both the methodology of biological signal measurement and biological signal processing are concerned. In particular, a number of signals such as electrocardiogram (EEG), electromyography (EMG), electroencephalogram (EEG), photoplethysmogram (PPG) and Ballistocardiogram are dealt with.
2.
Objectives
If one wants to know about living bodies, especially the human body, living bodies have to be measured in some way or another. In this way, biological signals can be the obtained. The aim of this course is to learn about the general and particular ways of handling biological signals.
3.
Grading Policy
Students will be required to submit two reports within the 15 weeks (35%+35%). Reports are reviewed and returned to the students.In the end of the course, students will take the final oral assessment exam (40%).
4.
Textbook and Reference
Two Japanese textbooks (ISBN:978-4-339-07131-3 and 978-4-339-07125-2) are used.
One textbook written in English (Tatsuo Togawa, Toshiyo Tamura, P. Ake Oberg, Biomedical Sensors and Instruments, Second Edition, CRC Press) is recommended.

5.
Requirements (Assignments)
Students should read designated textbooks. If a student has any question, he/she should contact the lecturer.
Learners should survey unfamiliar words and terms, however, rote memorization is NOT recommended.
Standard learning time is 15h for preparation and 30h for revision.
6.
Note
The knowledge of LMS is required.
7.
Schedule
1. Introduction
2. Measurement of inner pressure (1)
3. Measurement of inner pressure (2)
4. Measurement of flow in the body (1)
5. Measurement of flow in the body (2)
6. Measurement of kinematics
7. Measurement of dynamics
8. Thermal physiology
9. Electromagnetic phenomenon and measurement on living body (1)
10. Electromagnetic phenomenon and measurement on living body (2)
11. Electromagnetic phenomenon and measurement on living body (3)
12. Biochemistry measurement (1)
13. Biochemistry measurement (2)
14. Digital signal processing for biological signal
15. Hot-topics on biological signal
1.
Outline
In this lecture course, both the methodology of biological signal measurement and biological signal processing are concerned. In particular, a number of signals such as electrocardiogram (EEG), electromyography (EMG), electroencephalogram (EEG), photoplethysmogram (PPG) and Ballistocardiogram are dealt with.
2.
Objectives
If one wants to know about living bodies, especially the human body, living bodies have to be measured in some way or another. In this way, biological signals can be the obtained. The aim of this course is to learn about the general and particular ways of handling biological signals.
3.
Grading Policy
Students will be required to submit two reports within the 15 weeks (35%+35%). Reports are reviewed and returned to the students.In the end of the course, students will take the final oral assessment exam (40%).
4.
Textbook and Reference
Two Japanese textbooks (ISBN:978-4-339-07131-3 and 978-4-339-07125-2) are used.
One textbook written in English (Tatsuo Togawa, Toshiyo Tamura, P. Ake Oberg, Biomedical Sensors and Instruments, Second Edition, CRC Press) is recommended.

5.
Requirements (Assignments)
Students should read designated textbooks. If a student has any question, he/she should contact the lecturer.
Learners should survey unfamiliar words and terms, however, rote memorization is NOT recommended.
Standard learning time is 15h for preparation and 30h for revision.
6.
Note
The knowledge of LMS is required.
7.
Schedule
1. Introduction
2. Measurement of inner pressure (1)
3. Measurement of inner pressure (2)
4. Measurement of flow in the body (1)
5. Measurement of flow in the body (2)
6. Measurement of kinematics
7. Measurement of dynamics
8. Thermal physiology
9. Electromagnetic phenomenon and measurement on living body (1)
10. Electromagnetic phenomenon and measurement on living body (2)
11. Electromagnetic phenomenon and measurement on living body (3)
12. Biochemistry measurement (1)
13. Biochemistry measurement (2)
14. Digital signal processing for biological signal
15. Hot-topics on biological signal