Tomographic representation of ECG-signal
Yu.M. Belousov, N.N. Elkin, V.I. Man'ko, E.G. Popov, and S.V. Revenko
TL;DR
This paper explores the use of tomographic and Radon transform methods for ECG signal analysis, demonstrating their potential to reveal early signs of ischemic heart disease that traditional Fourier analysis may miss.
Contribution
It introduces a tomographic approach for ECG signal processing and compares it with fractional Fourier transform, highlighting its effectiveness in detecting early IHD signs.
Findings
Radon transform reveals additional diagnostic information
Tomographic methods outperform Fourier analysis in early IHD detection
Potential for improved ECG analysis in clinical diagnostics
Abstract
Tomographic representation of an arbitrary nature signal is considered. Comparison of a tomographic representation and a fractional Fourier transform is carried out. Application of tomogram representation or identical to it the Radon transform for processing medical ECG signals is illustrated. The first results show that in contrast to routine Fourier analysis, the Radon transform revealed an additional information for patients with the early signs of ischemic heart disease (IHD) with respect to healthy persons.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.