Course detail

Sources of Medical Data

FIT-ILDTAcad. year: 2009/2010

Information and control subsystems of human organism. Neural system and its electrical properties. Generation of electrical biosignals. Electroencephalography, electromyography, electrocardiography, phonocardiography. Measuring of blood pressure and flow, temperature, etc., monitoring systems. Vascular diagnostics. Examination of respiratory system, functional stress tests, measurement of properties of sensory organs. Elements of medical imaging systems: digital radiography, X-ray computed tomography, magnetic resonance imaging systems, gamma imaging systems, single photon emission computed tomography and positron emission computed tomography, digital sonography. Haematological and biochemical analyses.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Learning outcomes of the course unit

Basic knowledge about principles and applications of the most important diagnostic methods and systems.

Prerequisites

There are no prerequisites

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

Active attendance at laboratory sessions.

Course curriculum

  1. Information and control subsystems of human organism. Neural system and its electrical properties.
  2. Generation of the electrical biosignals. Electroencephalography, electromyography, electrocardiography, phonocardiography.
  3. Measuring of blood pressure, temperature, examination of respiratory system, further physiological measurements
  4. Blood flow measurement, Doppler ultrasound systems. Complex vascular diagnostics
  5. Monitoring systems, intensive care units, functional stress tests
  6. Measuring characteristics of auditory and visual sensory systems
  7. Digital radiography.
  8. X-ray computed tomography.
  9. Magnetic resonance imaging systems.
  10. Gamma imaging systems.
  11. Single photon emission computed tomography and positron emission computed tomography.
  12. Digital sonography.
  13. Principles of methods used in biochemical and haematological laboratories

Work placements

Not applicable.

Aims

Gaining knowledge on biological sources of signals and data and on technical possibilities of the data acquisition. Overview, and explanation of principles, of the most important systems for medical diagnostics, with respect to the data provided. The knowledge enables insight into specific properties of medical data acquisition and analysis, and is necessary for communication in medical/hospital environment.

Specification of controlled education, way of implementation and compensation for absences

No compensation possible.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Chmelař, M.: Lékařská přístrojová technika 1, Akademické nakladatelství CERM 1995 Chmelař, M.: Lékařská laboratorní technika, skriptum VUT 2000 Drastich, A.: Zobrazovací systémy v lékařství, VUT FEI, Brno 1989 Drastich, A.: Netelevizní zobrazovací systémy, UBMI FEI VUT v Brně 2001 Krstel, E.: Imaging Systems for Medical Diagnostics, Siemens Aktiengesellschaft, Berlin 1990 Bronzino, J.D.: The Biomedical engineering Handbook, CRC Press, Boca Raton 1995 Rozman, J., kol. Elektronické přístroje v lékařství, Academia, 2006

Classification of course in study plans

  • Programme IT-BC-3 Bachelor's

    branch BIT , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Syllabus

Design of medical devices. Sensing electrodes, polarization of the electrodes. Amplifiers for biological signals, technical parameters of the amplifiers Electrocardiography, principle of devices, recording and interpretation of the ECG. Electroencephalography, equipment, principle of its function and technical parameters. Detection of the evoked potentials. Additive equipment for EEG. Electromyography, record and assessment of electrical signal from muscles. The technical parameters of the EMG. Additive equipment for EMG. Phonocardiography, principle, devices. Blood pressure measurement (invasive and non invasive methods). Blood flow measurement methods - ultrasonic, dilution, impedance. Temperature measurement and applications. Pletysmography, principles, devices. Rewiev of the monitoring systems function and principles, list of physiological variables for monitoring, monitoring system and its coupling at the hospital information system. X-ray imaging systems. Description both the convenctional and digital skiascopic and the skigraphics systems. Using of the X-ray systems for the diagnostics purpose. Computerized X-ray tomography. Elementary principles of construction of the standard and the helical computerized tomographs. Nuclear magnetic resonance imaging systems. Elementary principles of its function. Using of the nuclear magnetic resonance imaging system for the diagnostic purpose. Gama-ray imaging systems. Construction principles of the planar Gama-ray imaging systems. Using of the Gama-ray imaging systems for the diagnostic purpose. Tissue ultrasound imaging systems. Using of the ultrasound imaging systems for the diagnostic purpose.

Laboratory exercise

13 hod., optionally

Teacher / Lecturer

Syllabus

LabView - principle of programming, applications. ECG processing and filtering in LabView. R wave detection in LabView. Design and construction of diferential amplifier for biological signal - using LabView for circuit analysis. Design and construction of antialiasing filter - using LabView for circuit analysis. Design and construction of notch filter - using LabView for circuit analysis. Design and construction of ECG amplifier - using LabView for circuit analysis.

Exercise in computer lab

13 hod., optionally

Teacher / Lecturer

Syllabus

Computer exercises are included in laboratory works - ECG signal processing in LabView.