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

After taking the course, the student can

  • Explain the origin of bioelectrical and biomagnetic fields
  • Describe and explain cellular electrical activity using charges, currents and fields
  • Model electrically active tissue and electrical properties of human body in macroscopic scale
  • Solve bioelectromagnetic forward problems with the help of boundary element method
  • Tell about assumptions and constraints needed and techniques used in solving of inverse problems
  • Estimate the solutions of inverse problems with some commonly-used methods
  • Critically read literature on the topic.

Credits: 5

Schedule: 06.09.2023 - 01.12.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Matti Stenroos

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

The preferred way to contact the teachers is through our Zulip chat.

  • Questions related to exercise problems, lecture content or course practices should be posted on the chat
  • Questions of private nature, such as requests for extension of exercise or journal deadline or request for special help, are sent as private message to the teachers. 
  • The teachers will not advise in exercise problems via private messages.

The teachers can also be reached thru Aalto email.

CEFR level (valid for whole curriculum period):

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

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    The course gives basic knowledge about bioelectromagnetic fields. The weight is on understanding the concepts and physics of the phenomena, mathematical modelling of the phenomena in macroscopic scale, and modelling methodology of the most important applications of the field. Thus, the course prepares the student for, e.g., understanding the principles and assumptions underlying common tools used in electromagnetic brain research and for developing this kind of tools.

    The topics comprise bioelectromagnetic phenomena and fields, mathematical modeling of sources and volume conductor, forward and inverse problems, electro- and magnetocardiography (ECG, MCG) and electro- and magnetoencephalography (EEG, MEG). The approach is field-theoretical.

  • applies in this implementation

    The course consists of three thematic parts that are partially interleaved:
    1. Bioelectromagnetic sources, potentials and fields (cell / tissue / macroscopic)
    2. Forward problem and measurement of macroscopic bioelectromagnetic fields
    3. Source analysis i.e. estimating (equivalent) sources from measured data
    The learning work is focused around exercises and course journals. Each part has two exercise sets, and the journal is written in three Chapters, i.e. one Chapter per part. The exercise sets are due every two weeks and the journal Chapters roughly every four weeks.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    • Exercise solutions
    • Other course tasks

  • applies in this implementation



Workload
  • valid for whole curriculum period:

    Lectures, exercises, course journal or other writing tasks.

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    If your BSc degree if not from physics, mathematics or bioengineering, please send a free-form application letter where you explain how you fulfil the prerequisites and why would you like to take the course.

    Literacy of vector differential and integral notation of electromagnetic field and potential equations is assumed. The students are expected to work continuosly throughout the course.

    Teaching Language : English

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

    Enrollment :

    The number of participants may be restricted, and the participants are pre-selected based on prerequisites. The priority is given to those Master and PhD students of BME and NEURO, who have the necessary prerequisite knowledge and skills.

Details on the schedule
  • applies in this implementation

    The teaching takes place in the Health Technology House (Otakaari 3).

    • The lectures are at 10–12h in the Auditorium (F239a).
    • The exercise sessions are on Wednesdays at 14–16h and on Fridays at 12–14h at Lecture Hall 1 (F175a).
    • The main exercise sessions are on all Wednesdays and the Fridays of even course weeks. 
    • Tutorials and feedback sessions are on Fridays of some odd course weeks (follow the course information for more information and changes).