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Bioelectric signals

General data

Course ID: 1100-2BN29
Erasmus code / ISCED: 13.202 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0533) Physics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Bioelectric signals
Name in Polish: Sygnały bioelektryczne
Organizational unit: Faculty of Physics
Course groups: (in Polish) ZFBM, II stopień; Fizyka medyczna
APBM - Neuroinformatics; 2nd year courses
ESOO - European programme in ophthalmic optics and optometry; 3rd year courses
ECTS credit allocation (and other scores): 2.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: Polish
Type of course:

obligatory courses

Prerequisites (description):

Basic knowledge on electricity, magnetism and cell biology

Mode:

Classroom

Short description:

The lecture concerns physiological bases of various bioelectric signals measured from the human body. The main emphasis is put on electroencephalographic signals generated by the human brain. Besides, the origin of signals from the heart, muscles, eye and galvanic skin response are also presented.

Full description:

The cellular basis of neurobiology. The membrane potential and the action potential. Conduction of the action potential. The synapse.

Autonomic functions. Sweat glands. Galvanic skin response (GSR). Lie detector.

The biophysics of the heart. The conduction system of the heart. Formation of the ECG signal

Skeletal muscle. Sliding filament model. Neuromuscular junction. Muscle properties. Motor unit types. Electromyography.

Theory of electroencephalography I. Electric fields and currents in biological tissue. Basic equations, synchrony of the sources, current source density.

Theory of electroencephalography II. Application of volume conductor theory to electroencephalography. The solid angle theorem for electric potentials, dipole layer.

Magnetoencephalography

Sleep EEG rhythms – sleep spindles, K complexes, slow waves, slow oscillation. Sleep structure and function. Epileptic discharges.

EEG rhythms during wakefulness – theta, alpha, mu tau, beta/gamma, high gamma, hippocampal ripples.

Evoked potentials – waves. Event related de(synchronization)

Student's workload:

15h - attending the lectures - 0.5 ECTS

15h - preparations for the lectures - 0,5 ECTS

30h - preparations for the exam - 1 ECTS

Total: 2 ECTS

Bibliography:

D. Johnston and S. Wu Foudations of Cellular Neurophysiology

P. Nunez, Electric fields of the brain.

A. Longstaff, Neurobiologia. Krótkie wykłady, PWN

G.G. Matthews, Neurobiologia. Od cząsteczek i komórek do układów, PZWL

A. Pilawski, Podstawy Biofizyki, PZWL

J. Malmivuo & R. Plonsey: Bioelectromagnetism - Principles and Applications of Bioelectric and Biomagnetic Fields, Oxford University Press, New York, 1995.

http://www.bem.fi/book/

Learning outcomes:

Having completed the course the student:

KNOWLEDGE

- knows and understands physiological bases of bioelectric signals generation.

- know physical and technical bases of bioelectric signals registration

ABILITIES

- can explain the origin of various bioelectric signals in the human body.

- understands experimental methods of bioelectric signals registration described in scientific papers.

- understands the relationship between emotional state and signals generated by the human organism.

SOCIAL AWARENESS

- attempts to live harmoniously with oneself and others.

Assessment methods and assessment criteria:

Written and oral exam

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Lecture, 15 hours, 30 places more information
Coordinators: Piotr Suffczyński
Group instructors: Piotr Suffczyński
Students list: (inaccessible to you)
Examination: Course - Examination
Lecture - Examination
Course descriptions are protected by copyright.
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