Physiological Measurements and Sensors (5 ECTS)
Code: TX00EY08-3003
General information
- Timing
-
20.10.2025 - 14.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- School of ICT and Industrial Management
- Campus
- Karaportti 2
- Teaching languages
- Finnish
- Seats
- 0 - 35
- Degree programmes
- Information and Communication Technology
- Teachers
- Sakari Lukkarinen
- Saana Vallius
- Groups
-
TVT24-HHyvinvointi- ja terveysteknologia
- Course
- TX00EY08
Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.
Time | Topic | Location |
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Tue 21.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Wed 22.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Tue 28.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Wed 29.10.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Tue 04.11.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Wed 05.11.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Tue 11.11.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Wed 12.11.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Tue 18.11.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Wed 19.11.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Tue 25.11.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Wed 26.11.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Tue 02.12.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Wed 03.12.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Tue 09.12.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Wed 10.12.2025 time 13:00 - 16:00 (3 h 0 min) |
Fysiologiset mittaukset ja anturit TX00EY08-3003 |
KMD758
Oppimistila
|
Objective
After completing the course, the student understands physiological signals, knows the typical methods of measuring physiological signals, measuring devices and sensors, understands the basics of digital signal processing, and is able to measure selected physiological signals.
Content
Methods and equipment for measuring physiological signals
Sensors
Signal amplification and interference filtering
Digital signal processing
Practical measurements of physiological signals
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Student has achieved the course objectives. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.
Assessment criteria, good (3)
Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.
Assessment criteria, approved/failed
Student has achieved the course objectives. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.