LEARNING OUTCOMES
After completing the course, the student should be able to
- Understand and explain the origin of bioelectrical signals and their relevance in clinical applications.
- Explain sampling and acquisition of continuous-time bioelectrical signals and their conversion to discrete-time representations.
- Analyse the properties of common deterministic and stochastic signal models, in particular sinusoidal and linear models.
- Interpret and explain frequency and time-frequency representations of deterministic and stochastic signals originating from biological systems.
- Formulate mathematical models for real bioelectrical signals and to design and implement processing methods such as smoothing, filtering, and denoising.
- Use a computer language such as, e.g., Matlab, Python, or Julia, to implement signal processing operations for bioelectrical.
Credits: 5
Schedule: 02.09.2024 - 14.10.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Filip Elvander, Filip Elvander
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:
- Deterministic and stochastic signals originating from biomedical systems and sensors, such as, e.g., EEG and ECG.
- Single- and multi-channel signals.
- Sampling of analog continuous-time signals.
- Rational models for deterministic signals (FIR/IR) and stochastic signals (AR/MA/ARMA).
- Frequency and time-frequency representations of signals.
- Parametric and non-parametric spectral analysis of bioelectrical signals
- Filtering, denoising, and estimation of model parameters.
Assessment Methods and Criteria
valid for whole curriculum period:
Exam, exercises, homework assignments. See course page in Mycourses.
Workload
valid for whole curriculum period:
- Lectures
- Tutorials
- Self-study
- Exam
DETAILS
Study Material
valid for whole curriculum period:
Course literature as well as lecture slides. See course page in Mycourses.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
3 Good Health and Well-being
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn I
2025-2026 Autumn I