Matching pursuit decomposition for detection of frequency changes in experimental data - application to heart signal recordings analysis
| Authors | |
|---|---|
| Year of publication | 2006 |
| Type | Article in Periodical |
| Magazine / Source | Scripta medica |
| MU Faculty or unit | |
| Citation | |
| Field | Physiology |
| Keywords | Voltage-sensitive dye di-4-ANEPPS;ECG signal;Wavelet analysis;Matching Pursuit decomposition |
| Description | The time-frequency analysis is a powerful tool to describe the nature of non-stationary biological signals. Short Time Fourier Transform and Wavelet Transform are well known analysis tools used in experimental field. This paper deals with another method, which is Matching Pursuit (MP) decomposition. This method decomposes a signal into an optimal linear expansion of waveforms, which are functions previously defined in a dictionary, and thus extends capability of traditional tools. The MP method is applied to study changes of energy of ECG signal frequency components during three experimental phases. The experiments include application of voltage-sensitive dye (VSD) needed for non-invasive optical mapping from heart surface. Our previous Langendorff perfused heart experiments suggested shape changes in ECG signals in time-frequency domain caused by application of VSD di-4-ANEPPS. In this study, the heart cycles were decomposed by MP in all phases (control, loading and washout period). The histograms of relative frequency of waveforms resulted from MP were computed to show frequency details for each experimental phase. The study shows significant shifts of majority energy frequency components during loading and their recovery after washout. Further, MP confirmed subtle frequency changes within QSR complexes during the experiment. |
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