Biological Signals

Lecturer:

Tutor:

Supervisor:

Department of Radioelectronics

Synopsis:

The native and evoked biosignals currently used in clinical practice are covered within this course. There are explained methods of their measurement, processing, recording and evaluating (especially in time and frequency domain). Explanation of more important biosignals is complemented by their origin, physiological bases, biosignal characteristics and physical and mathematical models. A few lectures is devoted to rheography and polygraphic methods.

Requirements:

Syllabus of lectures:

1. Biopotentials, stimulated and evoked, types, properties, recording, noise

2. Electroneurography, muscle origin signals, EMG, MMG, tendon jerks

3. Cardiac depolarisation vector, electrodes, electrode lead systems

4. ECG signals in time and frequency domains, vectorcardiography, isopotential maps

5. Phonocardiography, sphygmography, apexcardiography, MCG, polymethods

6. EEG signals origin, electrode systems, EEG signal properties, EEG rhythms

7. EEG systems, EEG signals in time and frequency domains, evoked EEG, MEG

8. Signals in ophthalmology, origins, electroretinogram, other signals

9. Otic signals, origin, audiometry types, evoked signals

10. Nystagmography, biosignals in obstetrics, rheography methods

11. Mathematical methods of biosignal analysis, cepstrum analysis, Hilbert transform

12. Methods of biosignal signals visualization for increasing of diagnostic value

13. Recording and transmitting, a long time biosignals recording

14. Experimental biosignal recording, modern methods of biosignal analysis

Syllabus of tutorials:

1. Biosignal processing in MATLAB environment

2. Basic operations with biosignals - derivation, integration, R-R interval detection in ECG

3. Processing of evoked potencials in neurology, craniocorpography experiment

4. Laboratory recording of ECG on biological object

5. Computations and transform of lead systems

6. Preprocessing and processing of ECG signal in time and frequency domain

7. Preprocessing and processing of EEG signal in time and frequency domain

8. Laboratory recording of EEG on biological object

9. Processing of signals in oculography - recording and analysis of eye movements

10. Cepstral analysis

11. Hilbert transform of biological signals

12. Computation of alveolar pressure

13. Methods of biological signals visualization

14. Excursion on medical clinic

Study Objective:

Study materials:

1. Akay, M.: Biomedical Signal Processing. New York: Academic Press. 1994

2. Akay, M.: Detection and Estimation Methods for Biomedical Signals. New York: Academic Press. 1996

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: