Title :
Comparison of Using Different Types of Wavelet or FFT for De-nosing of Body Surface Potential Signals
Author :
HajiRassouliha, Amir ; Amoon, Mehdi ; Doostmohammadi, Mohammad Hossein ; Sadr, Ali ; Ayatollahi, Ahmad ; Rezairad, Gholam Ali
Author_Institution :
Electr. Eng. Dept., Iran Univ. of Sci. & Technol.
Abstract :
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.
Keywords :
bioelectric phenomena; cardiology; fast Fourier transforms; medical signal processing; patient diagnosis; signal denoising; wavelet transforms; BSPM; FFT; body surface potential mapping; body surface potential signal denosing; diagnostic information; fast Fourier transform; heart problem diagnosis; heart surface electrophysiology; noninvasive functional imaging method; signal error ratio; wavelet transform; Computational modeling; Electrocardiography; Equations; Heart; Image reconstruction; Magnetic field measurement; Myocardium; Noise reduction; Surface reconstruction; Surface waves;
Conference_Titel :
Broadband Communications, Information Technology & Biomedical Applications, 2008 Third International Conference on
Conference_Location :
Gauteng
Print_ISBN :
978-1-4244-3281-3
Electronic_ISBN :
978-0-7695-3453-4
DOI :
10.1109/BROADCOM.2008.75
