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Physiological Measurements and Sensors (5 cr)

Code: TX00EY08-3003

General information


Timing
20.10.2025 - 14.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
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-H
Hyvinvointi- ja terveysteknologia
Course
TX00EY08
No reservations found for implementation TX00EY08-3003!

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.

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

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