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Lecturer(s)
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Posel Zbyšek, doc. RNDr. Ph.D.
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Course content
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- 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
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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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.
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
active participation in seminars and submission of functional codes
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Recommended literature
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Gonzales R. C. Digital Image Processing Using Matlab, MacGraw Hill Education Private Limited, druhé vydání, ISBN 978-0-07-070262-2..
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Jan J. Číslicová filtrace, analýza a restaurace signálů. Brno: VUTIUM, 2002.
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