Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


1. Can describe the main features of the physiological, physical and chemical background to the most common bioelectrical phenomena.

2. Can model and analyze these phenomena using a computer.

3. Can describe the structure and operating principle of some of the most common diagnostic and therapeutic equipment.

4. Can identify interference factors and their coupling mechanisms and explain solutions for shielding against the effects of interference.


Credits: 5

Schedule: 02.11.2022 - 21.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Ilkka Laakso, Lauri Palva

Contact information for the course (applies in this implementation):

You can contact the staff via email or Slack (link will be provided on the front page)

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    Medical diagnostics and therapy equipment, their construction and functions. Modelling and analysis of bioelectrical phenomena. Measurement and processing of bioelectrical signals.

  • applies in this implementation

    Week 1: Modelling nerve stimulation using biological axon models

    • Origin of electrical biosignals
    • Modelling of axons of nerve cells

    Week 2: Measurement of electrical biosignals

    • Electrocardiograph (ECG)
    • Doing ECG recordings

    Week 3: Volume conductor models

    • Electrical properties of biological tissues
    • Electrical modelling of the human body

    Week 4: Processing of biosignals

    • Sources of artefacts
    • Basic signal processing

    Week 5: Recap

    Group work: Medical devices, e.g.,

    • Pulse oximeter
    • Body composition meter
    • Video-based biosignal measurements
    • Anaesthesia machine
    • Blood pressure measurement
    • etc.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Lectures, exercises and group work.

  • applies in this implementation

    Grading is based on exercise problems and group work. There is no exam.

    Exercise problems: 60 p (five rounds, 12 p / round)

    Group work: 35 + 5 p

    • 35 p: presentation and report
      The points awarded depend on the grade of the report:
      Excellent: 32–35 p
      Very good: 28–31 p
      Good: 24–27 p
      Very satisfactory: 20 - 23 p
      Satisfactory 16 - 19 p
    • 5p: Evaluate at least two reports by other groups (mandatory)

    Total: 100 p

    Bonus points:

    • Evaluate additional group work reports (1 p / report past the first two)
    • Course feedback (1 p)

    The points are converted to final grades according to the following table:

    Excellent (5):         82.00 to 100.00 points
    Very good (4): 74.00 to 81.99...
    Good (3): 66.00 to 73.99...
    Very satisfactory (2): 58.00 to 65.99...
    Satisfactory (1): 50.00 to 57.99...

    Explanation for the point grade limits:

    • For passing the course (1), you need to get one half of the maximum points (50 p).
    • A grade of Excellent (5) can be obtained, for instance, by getting an Excellent grade from the exercises (> 48 p), a Very Good grade from the group work (> 29 p), and evaluation of two group work reports (5 p). 48 p + 29 p + 5 p = 82 p.

  • valid for whole curriculum period:

    Contact hours 30: Weekly lectures and exercises.

    Attendance in lectures and exercises is not compulsory.

    Self supported and group study 103: Weekly exercises and group work


Study Material
  • applies in this implementation

    Lecture and exercise material.

Substitutes for Courses
SDG: Sustainable Development Goals

    3 Good Health and Well-being


Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2023-2024 Autumn II

    Enrollment :

    Registration for Courses on Sisu (