Early diagnostics of ischemia by means of electrocardiographic signals processing using acousto-optic Fourier processors with time integration

K. V. Zaichenko; B. S. Gurevich

doi:10.1117/12.2535709

22 July 2019 Early diagnostics of ischemia by means of electrocardiographic signals processing using acousto-optic Fourier processors with time integration

K. V. Zaichenko, B. S. Gurevich

Author Affiliations +

Proceedings Volume 11075, Novel Biophotonics Techniques and Applications V; 110751U (2019) https://doi.org/10.1117/12.2535709
Event: European Conferences on Biomedical Optics, 2019, Munich, Germany

Abstract

A new method of acousto-optic processing of electrocardiographic signals, especially obtained in the ultra high resolution mode, has been proposed, and its information possibilities have been considered. It has been shown that elecrocardiographic signals processing can be performed only by acousto-optic spectrum analyzers with time integration or with time-and-space integration. In order to provide the necessary resolving power by frequency which corresponds to the frequency range of bioelectric signals to be studied, it is necessary to make some specific demands to the accumulation time and to amount of pixels of the multielement photodetectors used in acousto-optic devices mentioned above. The proposed method provides the significant shortening of the processing duration and improvement of the processing reliability. The distortions which appear due to the finite size of the photodetecting array pixels have been discussed and some means have been proposed in order to minimize the distortions and to increase output signal-to-noise ratio. The method can provide early diagnostics of ischemic heart disease.

Citation Download Citation

K. V. Zaichenko and B. S. Gurevich "Early diagnostics of ischemia by means of electrocardiographic signals processing using acousto-optic Fourier processors with time integration", Proc. SPIE 11075, Novel Biophotonics Techniques and Applications V, 110751U (22 July 2019); https://doi.org/10.1117/12.2535709

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