Comparison of Using Different Types of Wavelet or FFT for De-nosing of Body Surface Potential Signals

摘要

Body surface potential mapping (BSPM) is a non-invasive functional imaging method for reconstructing electrophysiological information about the surface of the heart. BSPM provides more diagnostic information than the 12-lead ECG. De-noising body surface potential (BSP) signals would lead to more accurate BSPM patterns therefore better diagnosis for heart problems. For de-noising of body surface potential signals we used FFT and also different types of wavelets as a de-nosing tool and compare their results with the help of a quantitative value called Signal Error Ratio (SER). Wavelets show better results in compare to FFT. After de-noising all of the BSP signals, changes in BSPM patterns are also presented to show the effects of our method in de-noising BSPs.