Biological signals

Enrollement in the course requires an assessment of the following courses:

Biologické signály (A6M31BSG)

Lecturer:

Roman Čmejla (gar.)

Tutor:

Roman Čmejla (gar.), Radek Janča, Jan Rusz

Supervisor:

Department of Circuit Theory

Synopsis:

The subject deals with native and evoked biosignals used in various clinical specialisations today's medicine and methods of their acquisition, processing, record and evaulation in time and frequency domain. Students are introduced in genesis of important biomedical signals, their physiological fundamentals, and characteristics needed for device design, possibly in physical and mathematical models. Students have an excellent opportunities to acquire own biological signals and to process data in MATLAB environment.

Requirements:

Syllabus of lectures:

1. Introduction, biosignals, types, characteristics

2. Genesis of biological signals, membrane potentials, neuron models

3. Neural and skeletal muscle signals, EMG, parameters, processing, fatique analysis

4. Heart?s signals, ECG leads, depolarisation vector, electrical heart axis

5. ECG description in time and frequency domain, VCG, filters and noise cancelling

6. Polygraphic methods in cardiology, PCG,pletysmography, wave detection, HRV

7. Description of brain activity, EEG leads, normal EEG, rythms, analysis, artefacts

8. Abnormal EEG, paroxysmal graphoelements, evoked potentials

9. Electrooculography, electroretinography, sleep stage detection and classification

10. Signals in cochlea, audiometry, cochlear implants, speech-coding strategies

11. Voice and speech, F0, formants, voice and speech disorders

12. Neural network, biosignal modelling and classification

13. Mathematical methods of biosignal analysis, signal visualisation

14. Biosignal compression, record and transfer, longtime records

Syllabus of tutorials:

1. Measurment and evaluation of reaction time, signal processing in MATLAB

2. Nerve conduction velocity along the ulnar nerve, signal detection

3. Electromyogram, analyses and processing in time and frequency domain

4. Electrocardiogram, leads, heart axis, R-R interval detection

5. Vectorcardiogram, filters and noise cancellation in ECG signal

6. Polycardiography, (ECG, PCG, pletysmography), wave detection, spectral analysis, HRV

7. Auditory evoked potentials, averaging

8. Electroencephalogram, alpha activity, artefacts, spectral analysis, cross corelation,

9. Electrooculogram, eye movement, saccades, fixation, classification

10. Coding strategies in cochlear implants

11. Voice and speech, voice field, F0 detection

12. Neural network and biosignals

13. Electrogastrogram and polygraph

14. Pulmonary function and blood preasure, signal processing and analysis

Study Objective:

Study materials:

1. Svatoš, J.: Biologické signály I - geneze, zpracování a analýza. Praha: ČVUT 1995

2. Rozman, J. a kol.: Elektronické přístroje v lékařství, Academia 2006

3. Trojan, S. a kol.: Lékařská fyziologie, GRADA 1994

4. Semmlow, J.L.: Biosignal and Biomedical Image Processing. Marcel Dekker, Inc.. 1996

5. Bronzino, E.D.: The Biomedical Engineering Handbook. CRC Press, 2000

Note:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomKN:E-107 Čmejla R. 07:30–09:00 (lecture parallel1) Karlovo nám. Zengerova posluchárna K1roomT2:A4-405 Janča R. 12:45–14:15 (lecture parallel1 parallel nr.103) Dejvice LaboratorroomT2:A4-405 14:30–16:00 (lecture parallel1 parallel nr.101) Dejvice LaboratorroomT2:A4-405 16:15–17:45 (lecture parallel1 parallel nr.102) Dejvice LaboratorroomT2:A4-405 18:00–19:30 (lecture parallel1 parallel nr.104) Dejvice Laborator
Tue
Fri
Thu
Fri

The course is a part of the following study plans:

• Biomedical Engineering- structured studies (compulsory course)