Course: Signal and image processing of biological and physiological data

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Course title Signal and image processing of biological and physiological data
Course code KI/0206
Organizational form of instruction Seminary
Level of course Bachelor
Year of study not specified
Semester Winter and summer
Number of ECTS credits 2
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Posel Zbyšek, doc. RNDr. Ph.D.
Course content
- Introduction to signal and image processing (methods, algorithms and their implementation in Python) - Advanced methods for processing the physiological signal, event detection and its visualization - Advanced methods for processing the biological data (obtained from several diagnostic devices), object detection and discrimination

Learning activities and teaching methods
unspecified
Learning outcomes
Aim of this course is to apply advanced signal and image processing methods on data obtained by various diagnostic devices. Data used in this course can represent physiological activity of heart, muscles, brain, or images of cells obtained by microscopes (fluorescence, optical, etc.) or by several other diagnostic devices.

Prerequisites
unspecified

Assessment methods and criteria
unspecified
active participation in seminars and submission of functional codes
Recommended literature
  • Gonzales R. C. Digital Image Processing Using Matlab, MacGraw Hill Education Private Limited, druhé vydání, ISBN 978-0-07-070262-2..
  • Jan J. Číslicová filtrace, analýza a restaurace signálů. Brno: VUTIUM, 2002.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Information Sciences (double subject) (A14) Category: Informatics courses - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Science Study plan (Version): - (A14) Category: Informatics courses - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Science Study plan (Version): Information Systems (A14) Category: Informatics courses - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Science Study plan (Version): Information Sciences (double subject) (A14) Category: Informatics courses - Recommended year of study:-, Recommended semester: -