Noise reduction using 2D Anisotropic Diffusion Filter in inverse electrocardiography

Date

2014-01-01

Author

Mazloumi Gavgani, A.
Serinağaoğlu Doğrusöz, Yeşim

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Noise in biomedical measurements has a negative effect on the accuracy of the solutions obtained. Therefore various filtering methods have been proposed in literature to reduce the effects of noise. In our previous studies we have demonstrated the application of one dimensional Anisotropic Diffusion Filter (ADF) to suppress the effects of measurement and geometric noise in body surface potential measurements (BSPM) with the goal of improving the corresponding solutions of the inverse problem of electrocardiography (ECG). In this study, we used two dimensional AD filter to cancel the noise on the body surface potentials and we compared the results to our previous observations. We used unfiltered and filtered BSPMs to estimate the epicardial potential distributions

Subject Keywords

Inverse problem of electrocardiography, Anistropic diffusion filters

URI

https://hdl.handle.net/11511/42656

DOI

https://doi.org/10.1007/978-3-319-00846-2_125

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

A. Mazloumi Gavgani and Y. Serinağaoğlu Doğrusöz, “Noise reduction using 2D Anisotropic Diffusion Filter in inverse electrocardiography,” 2014, vol. 41, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42656.