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.

LEARNING OUTCOMES

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: 28.10.2020 - 30.11.2020

Teacher in charge (valid 01.08.2020-31.07.2022): Ilkka Laakso, Lauri Palva

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

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

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    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: Group work: Medical devices

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

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    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)

Workload
  • Valid 01.08.2020-31.07.2022:

    Contact hours 30: Weekly lectures and exercises, and group work seminar.

    Attendance in lectures and exercises is not compulsory.

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

  • Applies in this implementation:

    Lectures:

    Remote lectures (optional): 4 x 2 h
    Independent study: 2 x 8 h
    Total: 24 h

    Exercises:

    Remote exercise sessions (optional): 5 x (2 + 2) h
    Independent or group work and writing reports: 5 x 8 h
    Total: 60 h

    Group work:

    Group or independent study: 16 h
    Preparing presentation video: 6 h
    Watching other presentations: 2 h
    Writing report: 20 h
    Evaluating two reports by other groups: 2 x 3 h
    Total: 50 h


DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    Lecture and exercise material.

  • Applies in this implementation:

    All materials will be shared through MyCourses.

    Lecture slides, lecture videos, articles, book chapters.



Substitutes for Courses
  • Valid 01.08.2020-31.07.2022:

    S-66.3166.

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    Basic courses in mathematics and physics.

SDG: Sustainable Development Goals

    3 Good Health and Well-being

FURTHER INFORMATION

Details on the schedule
  • Applies in this implementation:

    Remote lectures (4 times, attendance not mandatory):

    Wednesdays 10:15 - 12:00 via Zoom. Recorded videos will be made available in MyCourses.

    Lecture slides will be available at the latest just before the lecture.

    Exercise problems will be published on Wednesday (deadline: next Tuesday)


    Remote exercise sessions (5 weeks, twice a week, attendance not mandatory):

    Thursdays 16:15 - 18:00 via Zoom

    Mondays 16:15 - 18:00 via Zoom


    Group work video seminar:

    Group work video presentations (~ 10 min) should be prepared before Wednesday 9.12, after which they will be made available to other students.


    Important dates:

    Introductory lecture: 28.10.2020

    Deadline for returning the exercise problems: Every Tuesday night (1 week time to do the exercises)

    Deadlines (tentative):

    • Exercise 1: Tuesday 3.11
    • Exercise 2: Tuesday 10.11
    • Exercise 3: Tuesday 17.11
    • Exercise 4: Tuesday 24.11
    • Exercise 5: Tuesday 1.12

    Note: Some exercises problems may have a later deadline

    Group work presentation video:  9.12.2020

    Returning group work report: 9.12.2020

    Review of group work reports: 20.12.2020