Course: Biosignals in Clinical and Experimental Medicine

« Back
Course title Biosignals in Clinical and Experimental Medicine
Course code FZS/BKEM
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study 3
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Peichl Petr, doc. MUDr. Ph.D.
Course content
Lectures: 1) Signal definition; origin and character of biomedical signals; general scheme of biosignal analysis 2) Electrocardiographic signals: principles of origin and basic descriptive parameters; morphological and rhythmic analysis Resting and stress ECG; outpatient ECG; ECG episode recorders; implantable loop ECG recorders 3) ECG telemetry; transtelephonic ECG transmission; intracardiac ECG signals during electrophysiological examination and pacemaker interrogation 4) Programmers and electro-physiological diagnostic systems; electroanatomic mapping; ECG evaluation - manual and automatic interpretation, principles of ECG outpatient record evaluation 5) Types of interference (oscillation of isoelectric line, network interference, myopotentials) and its suppression by filtration; detecting QRS in ECG signals; signal-averaged ECG; isopotential mapping 6) Analysis of heart rate variability in time and frequency domain; atrial activity extraction from surface ECG; fetal ECG, mother ECG extraction 7) Pressure signals: indirect blood pressure measurement (oscillometry, servotonometric photoplethysmography); direct blood pressure measurement (strain gauge, tip manometer); baroreflex examination; character of the pressure curve in individual heart compartments, peripheral arteries and veins 8) Nervous system signals: spontaneous EEG activity, properties, typical graphoelements, noise and artifacts, their elimination; time and frequency domain processing; acoustically and visually evoked potentials, properties, accumulation methods for noise suppression 9) Maps of spontaneous electrical brain activity 10) Other signals: respiratory signals - direct and bioimpedance spirometry 11) Phonocardiographic signals 12) Oculographic signals 13) Electronystagmogram 14) Electromyography Exercises: 1) Origin and analysis of biomedical signals 2) Resting and stress ECG; outpatient ECG; episodic ECG recorders 3) ECG telemetry; intracardiac ECG signals during electrophysiological examination and pacemaker interrogation 4) Electroanatomic mapping; ECG evaluation - manual and automatic interpretation, principles of ECG outpatient record evaluation 5) Isoelectric line fluctuations, line noise, myopotentials, filter suppression; detecting QRS in ECG signals; signal-averaged ECG; isopotential mapping 6) Analysis of heart rate variability in time and frequency domain; atrial activity extraction from surface ECG 7) Indirect blood pressure measurement (oscillometry, servotonometric photoplethysmography); direct blood pressure measurement (strain-gauge, tip-manometer) 8) Nervous system signals: spontaneous EEG activity, typical graphoelements, noise and artifact removal; treatment in time and frequency domain 9) Maps of spontaneous electrical brain activity 10) Respiratory signals - direct and bioimpedance spirometry 11) Phonocardiographic signals 12) Oculographic signals 13) Electronystagmogram 14) Electromyography

Learning activities and teaching methods
Demonstration, Working activities (workshops)
  • Class attendance - 56 hours per semester
Learning outcomes
The course focuses on theoretical and practical aspects of sensing, processing and evaluation of biological signals in clinical medical practice and biomedical research. From the clinical and research point of view, the subject deals mainly with cardiovascular and nervous system signals.
Students obtain knowledge in given course in accordance with requirements and course programme.
Prerequisites
Preconditions are frased in the annotation of the course and in the curriculum of the studying programme.

Assessment methods and criteria
Combined examination, Practical demonstration of acquired skills, Didactic test

Credit: - 80% participation in exercises, - activity in exercises. Exam: - oral and practical examination.
Recommended literature
  • HOZMAN, Jiří a kol. Praktika z biomedicínské a klinické techniky. Praha: ČVUT, 2010. ISBN 978-80-01-03956-4.
  • HOZMAN, Jiří, Josef CHALOUPKA a Petr MARŠÁLEK. Praktika z biomedicínské a klinické techniky 3: Simulátory fyziologických funkcí a bezpečnost pacienta. Praha: ČVUT, 2010. ISBN 978-80-01-04031-7.
  • RANGARYYAN, Rangaraj M. Biomedical Signal Analysis. New York: Wiley-IEEE Press, 2015. ISBN 978-0-470-91139-6.
  • THEIS, Fabian J. a Anke MEYER-BÄSE. Biomedical signal analysis: contemporary methods and applications. Cambridge: MIT Press, 2010. ISBN 978-0-262-01328-4.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Health Studies Study plan (Version): Biomedical Technology (12) Category: Special and interdisciplinary fields 3 Recommended year of study:3, Recommended semester: Winter