Digital Signal Analysis for Abnormal Electrocardiogram (ECG) Signal Research and Development of Open Source Abnormal ECG Signal Generator

The 13th International Conference on Global Research and Education "Inter Academia 2014": Digest 2014
Elīna Rostoka, U Grunde

Digital signal processing for ECG is needed for development of ECG signal generators, mobile diagnostic devises and diagnostics in general. Most of regular signal processing methods have to be adjusted to fit ECG signal processing especially when the ECG signal is abnormal. During this research, filtering methods were applied to raw digital ECG data, new normalization method was developed and signal decomposition methods (Fourier transforms, empirical mode decomposition and wavelet transforms) were applied to samples of arrythmic ECG signals and decomposition results for arrythmic and non-arrhythmic ECG signals of arrythmia patients were compared.

Atslēgas vārdi
ECG, arrythmia, signal processing, signal generator

Rostoka, E., Grunde, U. Digital Signal Analysis for Abnormal Electrocardiogram (ECG) Signal Research and Development of Open Source Abnormal ECG Signal Generator. No: The 13th International Conference on Global Research and Education "Inter Academia 2014": Digest, Latvija, Riga, 10.-12. septembris, 2014. Riga: Riga Technical University, 2014, 180.-181.lpp. ISBN 978-9934-10-583-8.

Publikācijas valoda
English (en)