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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.

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.

More info on University of Turku’s study guide.

You can get a digital badge after completing this course.

health tech

Further information about the studies

University of Turku
Timo Vasankari
timo.vasankari(at)utu.fi

Responsible teacher

University of Turku
Mikko Pänkäälä
mikko.pankaala(at)utu.fi

Contact person for applications

FITech
Pilvi Lempiäinen , Head of study services
pilvi.lempiainen(at)fitech.io
Start here
Start here
Category:
ICT Studies
Topic:
Data analytics
Course code:
DTEK0042
Credits:
5 ECTS
Price:
0 €
Level:
Teaching period:
26.10.–20.12.2020
Application deadline:
19.10.2020
Host university:
University of Turku
Study is open for:
Adult learner,
Degree student
Teaching methods:
Contact
Place of contact learning:
Turku
Language:
English
General prerequisites:
Basics of digital signal processing recommended but not required.
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This course is included in the following theme