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Acquisition and analysis of biosignals

Individual course

Course content

Review of different physiological signals such as heart rate, body and skin temperature, blood pressure, oxygen saturation and respiration rate etc. which can be monitored by wearables. What kind of sensor technology is required to capture each of these physiological signals. Signal conditioning and processing for different types of biosignals; for example electrocardiography (ECG), electroencephalogram (EEG), electromyography (EMG) all measure electrical signals from the body, but have different applications and different signal processing.

Learning outcomes

After completing the course the student should

  • understand how the sensor technology and information technology can be exploited in the healthcare sector
  • learn principles of signal processing methods for biosignals and the limitations imposed by wireless hardware.

Teaching schedule

Weekly exercises on campus.

More info on University of Turku’s study guide.

You can get a digital badge after completing this course.

health tech, health technology, healthcare technology, terveysteknologia, bioteknologia, sensorit, signaalinkäsittely, lääketiede

Responsible teacher

University of Turku
Iman Azimi

Further information about the studies

University of Turku
Timo Vasankari

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Application period has ended
Application period has ended
Data analytics
Course code:
Study credits:
0 €
Course level:
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Host university:
University of Turku
Who can apply:
Adult learner,
Degree student
Teaching method:
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General prerequisites:
Basics of digital signal processing recommended but not required.
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