Téma:Advanced signal processing for health care (EEG)
Vedoucí:Ing. Václav Gerla Ph.D., Doc. Ing. Lenka Lhotská CSc.
Vypsáno jako:Diplomová práce,Individuální projekt
Oponent:doc. Ing. Vladimír Krajča, CSc.
Popis:The main aim of the project is design and implementation of advanced methods of biomedical signal preprocessing and processing. The work will be performed using EEG recordings provided by cooperating university hospitals. New approaches will be studied, as for example adaptive segmentation, application of speech processing algorithms, etc. The task will be to study and compare several methods, successively implement restricted set of methods and test their functionality and quality of processing on real signals. It is expected that finally there will be different methods used for adult EEG and different methods for newborn EEG because the characteristics of these signals are different.
Used hardware and software: PC/laptop (options Linux/Windows OS), MatLab, possibly Java programming language (if necessary)

Phases of the project
Study of applications of signal processing methods in biomedical signal processing
Study of EEG recordings, i.e. differences between newborn, child and adult EEG, especially in sleep recordings
Study and implementation of selected methods for signal preprocessing and processing:
- Defining the task (detection of noise and artefacts, feature extraction and classification)
- Design of individual methods
- Implementation of selected methods
- Experiments and their evaluation
Final report
Literatura:Adeli, Hojjat: Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Futute of Neurology. CRC Press. 2010 Gerla, V.: Automated Analysis of Long-Term EEG Signals. PhD Thesis. CVUT Prague, 2012 Sanei, S.; Chambers, J.A.: EEG Signal Processing. Wiley, 2007
Realizace:SW project + report
Vypsáno dne:10.05.2019