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Lecturer(s)
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Course content
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Lectures: 1. Introduction to measurement, metrology and measurement uncertainty. Measuring instruments for electrical quantities. Components and circuits of measuring instruments. Software control of instruments. Biophysics. 2. Digital multimeters (DMMs), analogue meters. Measurement of fundamental electrical quantities; digital measurement of voltage, current and resistance. Types of interference and their suppression in digital voltmetres 3. Generators; impedance measurement. Direct-reading phasor, bridge and resonant impedance and admittance metres. Vector analysers. 4. Stabilised voltage and current sources (linear, switched-mode). Power measurement, power network analysers. 5. Oscilloscope measurements, basic characteristics and circuitry of digital oscilloscopes. Spectral analysis of periodic signals. Principle and characteristics of spectrum analysers. 6. Components and circuits of electronic instruments ? measuring amplifiers and AD/DA converters, the use of operational amplifiers in measurement technology. Comparators, frequency filters, switches and multiplexers in measuring instruments, sampling circuits. 7. Software tools for measurement. Processing of measurement results. Basics of Matlab. 8. Spectral analysis of periodic signals. Transformation methods. 9. Modelling of electronic circuits. 10. Methods for analysing electronic circuits. 11. Biophysics of electrical phenomena and effects 1. 12. Biophysics of electrical phenomena and effects 2.. 13. Diagnostic instruments from the perspective of signal processing. Practical sessions 1. Calculation of uncertainties, comparison of DMMs. Measurements on a divider and a bridge. 2. Frequency analysis of a DMM. Use of a signal generator. 3. Measurements on voltage sources. Linear and switched-mode regulators. 4. Power measurements. Comparison of digital and analogue meters. 5. Measurements on a digital oscilloscope. 6. Measurements on frequency filters with an operational amplifier. 7. Measurements on AD and DA converters. 8. Measurements on a spectrum analyser. 9. Introduction to Matlab, creating first applications, most commonly used programme blocks. 10. Basic programming, examples of programme structures, data types, simple independent exercises. 11. More advanced programming, control structures, working with files. 12. Basic measurements on the test rig I. 13. Independent work ? measurements on the test tool II. 14. Independent work ? measurements on the test tool II.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Demonstration
- Semestral paper
- 24 hours per semester
- Preparation for exam
- 40 hours per semester
- Class attendance
- 56 hours per semester
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Learning outcomes
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The subject represents the introduction to electric and non-electric measurement. Students familiarize with basic measurement methods and with electric and electronic measurement instruments design and will learn to measure physical quantities in medicine.
By the subject graduating, the students will familiar with measurement methods and instruments.
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Prerequisites
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Basic knowledge from physics, electrotechnics and electronics.
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Assessment methods and criteria
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Combined examination, Oral exam, Written exam
The conditions for exam passing are receiving inclusion and good knowledge of lectured themes.
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Recommended literature
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Haasz,V., Sedláček,M. Elektrická měření (Přístroje a metody).. Praha: ČVUT, 2005. ISBN 80-01-02731-7.
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