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Dynamic time warping in biosignal processing

By Petr Novobilský


The thesis deals with one of the non-linear methods for signal processing - dynamic time warping (DTW). The method observes shape changes, which should be used in biomedical signals processing. The thesis involves the method description and consecution for finding DTW optimal way. The method is applied on the number series in the edutainment program, on the group of simulated signals and real electrocardiograms (ECG). ECG recordings were gained by performing experiments on the Masaryk University and their aim was clarifying the influence of voltage-sensitive dye on the heart tissue. One-lead ECG was described in time domain, frequency domain, time-frequency domain and subsequently remitted to DTW algorithm. The method outcomes evaluates the diversity rate of ECG signals obtained in each experiment stages. During the data evaluation were followed up the changes in process of the tension-sensible paint application and the stage of scouring toward control. The difference of elaborating signals group was verified in the time domain (37,5 %), in the frequency domain (75 %) and in the time-frequency domain (25 %). However, due to the small data group was not possible to explicitly approve the activity of voltage-sensitive dye on the heart tissue and to determinate limiting value of minimum algorithm way DTW for each heart round electrocardiogram classification. In the more data group analysis it is supposed to manifest the trend of growth heart round ECG differences in the stage of staining toward the stage of scouring

Topics: Dynamic time warping; matice částečné kumulované vzdálenosti; way of DTW; matice lokální vzdálenosti; Vlnková transformace; EKG.; Dynamické borcení časové osy; elektrokardiogram; matrix of local distance; Fourierova transformace; ECG.; hodnota minimální vzdálenosti; minimal value of dynamic time warping; Fourier transform; electrocardiogram; Wavelet transform; DTW; matrix of partial cumulate distance; cesta dynamického borcení časové osy
Publisher: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Year: 2008
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