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Course Catalog 2010-2011
LTT-4106 Processing of Physiological Signals, 5 cr |
Person responsible
Jarno Tanskanen
Lessons
Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Accepted computer assignments and final exam.
Completion parts must belong to the same implementation
Principles and baselines related to teaching and learning
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Learning outcomes
After completing the course students are able to describe and apply common signal processing, signal analysis, and signal interpretation methods in today's health care and wellness applications. They can also practice the processing and analysis of common physiological signals with Matlab.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Physiological signals, their properties, data acquisition and sampling. | ||
2. | EEG signal analysis. Spectral analysis of biosignals. Artifact rejection, adaptive filtering. Time-frequency analysis, wavelet transform, time-frequency distributions | ||
3. | ECG signal analysis. Arrhythmia detection. Feature extraction and classification. | ||
4. | Heart rate variability. Nonlinear dynamics. State space, phase space and related signal measures. Measures of signal entropy. | ||
5. | Computer exercises with Matlab and demonstrations. |
Evaluation criteria for the course
The mark is based on the final exam grade (55%) and computer exercises grade (45%).
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Lecture slides | Processing of physiological signal | Liping | English |
Prerequisites
Course | Mandatory/Advisable | Description |
SGN-1107 Introductory Signal Processing | Advisable | |
SGN-1201 Signal Processing Methods | Advisable |
Additional information about prerequisites
Any introductory signal processing course is valid.
Prerequisite relations (Requires logging in to POP)
Correspondence of content
Course | Corresponds course | Description |
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More precise information per implementation
Implementation | Description | Methods of instruction | Implementation |
Lectures Excercises |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |