A SOFTWARE-HARDWARE SOLUTION
FOR ANALYSIS OF PHONO-CARDIOGRAMS
Sergey V. Bachevskiy, St.Petersburg State University of Telecommunications
St. Petersburg, Russia, rector@sut.ru
Andrey G. Vladyko, St.Petersburg State University of Telecommunications
St. Petersburg, Russia, vladyko@bk.ru
Vladimir S. Uss, St.Petersburg State University of Telecommunications
St. Petersburg, Russia, uss_wl@mail.ru
Gleb G. Rogozinsky,St.Petersburg State University of Telecommunications
St. Petersburg, Russia, gleb.rogozinsky@gmail.com
Abstract
At the present time the active development of the digital telemedicine technologies, being the part of common Industrial 4.0 paradigm, plays key role for the improvement of quality of medical care, especially in the regions of the Russian Arctic zone, where the digital equipment of remote diagnostics of patients is widely used. Modern smart sensors can carry out the primary diagnosis measurements without medical specialist’s supervision. For example, smart phonendoscopes with learning features can recognize various heart diseases by the results of analysis of measured phonocardiograms (PCG), thus considerably reduce medical assistance in the sense of physical presence of trained personnel, and in some cases can save a patient from the lethal outcome. Meanwhile, this demands for development of specialized software-hardware solutions for patient’s statistical data gathering and corresponding modification of diagnostics algorithms, able to process such data and adjust the algorithms of diagnosis classification for the purposes of accuracy increasing. Because of the described research, the stand for measurement and analysis of PCG had been designed. The proposed solution is a working prototype of specialized diagnostic complex, enabling integration with software-hardware solutions based on LabVIW, as an industrial standard within various measurement-related applications including telemedicine. As the conceptual basis for the development of given methods we used the multi domain communication model, which allows to describe the aspects of the physic, informational and cognitive domains in the single terms. In particular, this model allows formalization of various transitions and transformations in-between different media, which is significant in the development of cyber-physical measurement and control systems.
Keywords: telemedicine, phonocardiogram, measurement stand, electronic phonendoscope, LabVIEW, Hilbert transform, multi domain model.
References
- Sotnikov A.D., Rogozinsky G.G. (2017). The multi domain infocommunication model as the basis of an auditory interfaces development for multimedia informational systems. T-Comm. 2017. Vol. 11. № 5, pp. 77-82.
- Sotnikov A.D. (2004). Principles of the Applied Area Analysis in Healthcare Infocommunication Systems. Proceedings of Higher Educational Establishments in Communications, no.171, pp. 174-183.
- Abbas, K.A., Bassam, R. (2009). Phonocardiography Signal Processing. Morgan and Claypool, pp. 218.
- Springer D., Brennan, T. (2016). Automated signal quality assessment of mobile phone-recorded heart sound signals: Automated signal quality assessment of mobile phone-recorded heart sound signals. Journal of Medical Engineering & Technology. 40(7-8), pp. 342-355.
- Baran, E.D. (2009). LabVIEW FPGA. Reconfigured measurement and controlling systems. Moscow: DMK Press. 448 p. (in Russian)
6. Magda, U.S. (2012). LabVIEW: Practical course for engineers and developers. Moscow: DMK Press. 208 p. (in Russian)
Information about authors:
Sergey V. Bachevskiy, Dr. Sc. Tech. Prof. of Communications Theory and Radiotechnics Department, St.Petersburg State University of Telecommunications, St. Petersburg, Russia
Andrey G. Vladyko, Ph.D., Head of Science-Research Institute of Communication Technologies, St.Petersburg State University of Telecommunications, St. Petersburg, Russia
Vladimir S. Uss, Ph.D. Associated prof. of Radioelectronics Design and Production Department, St.Petersburg State University of Telecommunications, St. Petersburg, Russia
Gleb G. Rogozinsky, Ph.D., Head of Medialabs, St.Petersburg State University of Telecommunications, St. Petersburg, Russia