Detail of the student project

Topic:Advanced signal processing for health care (CTG)
Department:Katedra kybernetiky
Supervisor:Doc. Ing. Lenka Lhotská CSc., Ing. Václav Chudáček Ph.D.
Announce as:DP,PMI
Description: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 CTG recordings provided by cooperating university hospital. New approaches will be studied, as for example application of speech processing algorithms or morphological analysis. 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 new modules for the library of biological signal processing methods.
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 CTG recordings, including detection and separation of artefacts
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
Bibliography:Acharya, U.R.; et al.: Advances in Cardiac Signal Processing. Springer, 2007
Kamath, Markad V.: Heart Rate Variability (HRV) Signal Analysis: Clinical Applications. CRC Press, 2013
Chudáček, Václav: Automatic Analysis of Intrapartum Fetal Heart Rate. PhD Thesis. CVUT Prague, 2011
Realization form:SW project + report
Responsible person: Petr Pošík