Author:
Buchner Teodor,Zajdel Maryla,Pȩczalski Kazimierz,Nowak Paweł
Abstract
AbstractA satisfactory model of the biopotentials propagating through the human body is essential for medical diagnostics, particularly for cardiovascular diseases. In our study, we develop the theory, that the propagation of biopotential of cardiac origin (ECG signal) may be treated as the propagation of low-frequency endogenous electromagnetic wave through the human body. We show that within this approach, the velocity of the ECG signal can be theoretically estimated, like for any other wave and physical medium, from the refraction index of the tissue in an appropriate frequency range. We confirm the theoretical predictions by the comparison with a direct measurement of the ECG signal propagation velocity and obtain mean velocity as low as v=1500 m/s. The results shed new light on our understanding of biopotential propagation through living tissue. This propagation depends on the frequency band of the signal and the transmittance of the tissue. This finding may improve the interpretation of the electric measurements, such as ECG and EEG when the frequency dependence of conductance and the phase shift introduced by the tissue is considered. We have shown, that the ECG propagation modifies the amplitude and phase of signal to a considerable extent. It may also improve the convergence of inverse problem in electrocardiographic imaging.
Funder
Warsaw University of Technology, Poland
Publisher
Springer Science and Business Media LLC
Reference59 articles.
1. Malmivuo, J. & Plonsey, R. Bioelectromagnetism, Principles and Applications of Bioelectrical and Biomagnetic Fields (Oxford University Press, 1995).
2. Geselowitz, D. On the theory of the electrocardiogram. Proc. IEEE 77, 857–876 (1989).
3. Song, J. et al. Electrical impedance changes at different phases of cerebral edema in rats with ischemic brain injury. Biomed. Res. Int. 2018, 1–10 (2018).
4. Seoane, F. et al. Brain electrical impedance at various frequencies: The effect of hypoxia. In The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE, 2005).
5. Ke, X.-Y. et al. Advances in electrical impedance tomography-based brain imaging. Mil. Med. Res. 9, 10 (2022).
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献