New methods for vectorcardiographic signal processing
2011/11 - H. Aikio
Vectorcardiography (VCG) determines the direction and magnitude of the heart’s electrical forces. Interpretation of the digital three-dimensional vectorcardiography in clinical applications requires robust methods and novel approaches for calculating the vectorcardiographic features.
The dissertation by Mari Karsikas, Research Scientist of the Biosignal Processing Team of the Biomedical Engineering Research Group (BME), provides new methods for vectorcardiographic signal processing. The robustness of selected pre-processing and feature extraction algorithms has been improved. The study also determines the dynamical behavior of vectorcardiographic features. In addition, it represents novel methods for detecting the injured myocardial tissue from electrocardiogram (ECG).
The results of the dissertation highlight the importance of robust algorithms in a VCG analysis. They serve as a basis for further studies, in order to the vectorcardiography to be utilized more effectively in clinical applications.
Mari Karsikas will defend her PhD thesis on Friday, November 25, at noon, at the auditorium IT 115, Linnanmaa campus, University of Oulu.