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 this course the student can

1. recognise the main properties of a biosignal processing problem and assess what are appropriate techniques to use

2. explain the underlying principles of these signal processing techniques

3. design components of a full signal processing and interpretation chain for a real-life biomedical problem

4. select and use the right methods to assess the usefulness/performance of this processing chain

5. understand and discuss the clinical / healthcare requirements for biosignal processing applications.

Credits: 5

Schedule: 14.09.2021 - 13.12.2021

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Marcus van Gils

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

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:

    Modern signal processing techniques in biomedical applications are discussed. Subjects include different spectral analysis methods, adaptive filters, time-frequency methods, and machine learning for time-series analysis.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Teaching methods:  Lectures, exercises that can be done at home and are discussed in the classroom, a home exercise.

    Requirements, Assessment Methods and Criteria: Passing the exam. Exercise scores contribute to grading.

Workload
  • valid for whole curriculum period:

    • Lectures: 24 h
    • Preparation to lectures: 24 h
    • Exercise sessions: 12 h
    • Independent solving of assignments: 30 h
    • Independent studying of theory: 15 h
    • Repetition:
    • 25 h
    • Exam: 3 h

DETAILS

Study Material
  • valid for whole curriculum period:

    Handouts of lecture slides. Additional material may be made available during the course.

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Period:

    2020-2021 Autumn I-II

    2021-2022 Autumn I-II

    Course Homepage: https://mycourses.aalto.fi/course/search.php?search=NBE-E4050

    Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

    Registration via WebOodi