Detail of the student project

Topic:Advanced signal processing for health care (PPG)
Department:Katedra kybernetiky
Supervisor:Doc. Ing. Lenka Lhotská CSc., Ing. Jakub Kužílek 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 PPG (photoplethysmography) recordings provided by cooperating university hospitals. New approaches will be studied, as for example application of speech processing algorithms. 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.
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 PPG recordings, i.e. differences between child and adult PPG, especially recorded on different parts of the body (finger, ear).
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:Mumford, David; Desolneux, Agnes: Pattern Theory: The Stochastic Analysis of Real-World Signals. A.K.Peters, 2010
Nait-Ali, Amine: Advanced Biosignal Processing. Springer. 2009
Northrop, Robert B.: Signals and Systems Analysis in Biomedical Enginneering. CRC Press. 2010
Realization form:SW project + report
Responsible person: Petr Pošík