DELETED: (JOENSUU): Biosignal acquisition and processing (BAP) (5cr)
Code: C-10088-LT00EK89-3002
General information
- Enrollment
- 17.03.2025 - 04.04.2025
- Registration for the implementation has ended.
- Timing
- 31.03.2025 - 18.06.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Institution
- University of Eastern Finland, Itä-Suomen yliopisto, Joensuun kampus
- Teaching languages
- English
- Seats
- 0 - 10
- Course
- C-10088-LT00EK89
Materials
Rangayyan, Rangaraj M., and Sridhar Krishnan. Biomedical signal analysis. John Wiley & Sons, 2024. (tai Rangayyan, Rangaraj M. "Biomedical Signal Analysis: A Case-Study Approach.") Hugo Humberto Plácido da Silva, Hugo Filipe Silveira Gamboa, Rui Pedro Sousa Varandas, Guilherme Alexandre dos Santos Espadanal Ramos: Biosignal Acquisition and Processing: A Project-Based Learning Approach, Springer 2023 • https://www.fsd.tuni.fi/fi/palvelut/menetelmaopetus/kvanti/ohjeet/kvantiohjeet Supplementary material: • Imms, W., & Kvan, T. (2021). Teacher Transition into Innovative Learning Environments. A Global Perspective (1st ed. 2021.). Springer Singapore. https://doi.org/10.1007/978-981-15-7497-9
Evaluation scale
0-5
Teaching methods
Lectures 20 h: hybrid teaching, delivered from the Kuopio or Joensuu campus. Exercises 12 h: contact teaching, exercises to acquire and process biosignals. Individual assignments and exercises 100 h: signals collected in the exercises will be examined and processed individually using the information and methods provided in the lectures and exercises. A small study and possible related application will be carried out in small groups.
Qualifications
No formal prerequisites are needed, but good programming skills as well as familiarity with basic mathematics will be helpful.
Content
Course content: physiological origins and characteristics of bio-signals for data processing. Electrical (ECG, EMG, EEG) and non-electrical biosignals (motion capture and functional brain imaging). Hands on acquisition of biosignals. Signal quality improvement and analysis methods. Biosignal device and software interfaces and tools. System architectures for biosignal processing.
Objective
After completing the study unit, the student will be able to - Identify use cases of biosignals in medical technology, wellness technology and human-computer interaction. - Explain the essential physiological processes that form biosignals (e.g. electrocardiogram (ECG), electromyography (EMG)) and know the basics of signal collection from the human body. - Have knowledge of basic methodology for signal quality improvement and feature extraction. - Implement applications using biosignals