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Main menu for Browse IS/STAG
Course info
KIV / DVM
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Course description
Department/Unit / Abbreviation
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KIV
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DVM
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Diagnostic Methods in Medicine
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
6
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
3
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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No
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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Automatic acceptance of credit before examination
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No
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter + Summer
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Semester taught
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Winter + Summer
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Minimum (B + C) students
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1
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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KIV/DGSM
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Histogram of students' grades over the years:
Graphic PNG
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XLS
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Course objectives:
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The aim of the course is to make students acquainted with modern diagnostic methods, their principles and clinical applications. Knowledge of structure, features and information content of measured data is very important. The course is oriented on selected fields of diagnostics.
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Requirements on student
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Credits: students project development
Exam: written test, discussion on students project, examine questions
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Content
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Diagnostic examination methods and biomedicine data processing, division of examination methods, functional diagnostics, biomedicine data characteristics, systems for their processing.
Electroencephalography (EEG), signal processing methods, stereo EEG, oscilations.
Event related potentials: somatosenzoric SEP, hearing BAEP, MLAEP, optic VEP, motoric MEP.
Transcranial magnetic stimulation TMS and repetitive TMS.
Electromyography, conductional studies, acerose electromyography technique. Event related potentials ERP. Peroperational elektrophysiological monitoring.
Navigation systems in neurosurgery, incl. stereotaxis. Experimental neuroelectrophysiological techniques.
Laryngology, optical and acoustic examination methods, videostroboscopy, videokymography VKG, high-speed camera HSV, acoustic functional examination of voice field VRP.
Clinical audiometry, examination methods and hearing examination algorithmisation.
Othoneurology, vestibular system, nystagmus, examination techniques.
Radiodiagnostic methods, RTG, digital RTG, ultrasonography, interventional radiology, tomographic methods - RTG CT, MRI, PET.
Cardiology, electrocardiographic examination methods, coronarographic examination methods, heart stimulation techniques, defibrilation, cardiostimulators - types, functions, implantation, measuring and stimulation parameter setting.
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Preparation for an examination (30-60)
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40
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Attendance on a field trip (number of real hours - maximum 8h/day)
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16
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Contact hours
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39
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Preparation for laboratory testing; outcome analysis (1-8)
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15
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Presentation preparation (report) (1-10)
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10
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Preparation for formative assessments (2-20)
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10
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Practical training (number of hours)
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26
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Total
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156
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
využívat znalosti získané studiem obecné fyziologie člověka, viz KIV/ZOF |
používat metody číslicového zpracování signálů |
ovládat programovací techniky a programovací jazyk Java nebo C/C++, C# |
orientovat se ve strukturách a vlastnostech kognitivních systémů |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
orientovat se v molekulárně biologických a elektrofyziologických základech obecné fyziologie člověka |
aplikovat metody číslicového zpracování signálu a obrazů |
rozumět elektrofyziologii biologických membrán a vzniku akčního napětí jako základního typu signálu pro transport informace |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
orientovat se v diagnostických vyšetřovacích metodách a ve zpracování biomedicínských dat |
rozumět technice a metodám zpracování signálů typu EEG, SEP, BAEP, MLAEP, VEP, MEP |
porozumět radiodiagnostickým metodám, např. digitální RTG, ultrasonografie, RTG CT, MRI, PET |
orientovat se v problematice foniatrických, audiologických a otoneurologických vyšetřovacích technik |
seznámit se s navigačními systémy v neurochirurgii včetně stereotaxe |
mít přehled o kardiologických vyšetřovacích metodách a rozumět problematice stimulace srdečního svalu |
Skills - skills resulting from the course: |
realizovat vyšetření evokovaných potenciálů: SEP, BAEP, MLAEP, VEP, MEP |
provádět a vyhodnocovat neinvazivní funkční diagnostiku sluchu a hlasu |
algoritmizovat a navrhovat scénáře vyšetřovacích metod |
vytvářet programové moduly ve vyšších programovacích jazycích, např. Java, C/C++, C#, pro sběr, zpracování a vyhodnocování biomedicínských dat |
Competences - competences resulting from the course: |
N/A |
N/A |
N/A |
předmět svým obsahem umožňuje studentům technických oborů získat klíčové informace o medicínských vyšetřovacích metodách a procesech, jejich principech a informačním obsahu naměřených dat |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Combined exam |
Seminar work |
Continuous assessment |
Skills - skills achieved by taking this course are verified by the following means: |
Combined exam |
Seminar work |
Individual presentation at a seminar |
Competences - competence achieved by taking this course are verified by the following means: |
Combined exam |
Individual presentation at a seminar |
Seminar work |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Interactive lecture |
Seminar classes |
Self-study of literature |
One-to-One tutorial |
Skills - the following training methods are used to achieve the required skills: |
Interactive lecture |
Seminar classes |
Laboratory work |
Individual study |
Competences - the following training methods are used to achieve the required competences: |
Interactive lecture |
Seminar classes |
Individual study |
One-to-One tutorial |
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