Human Vascular System Screening System Using a Relative Description Photoplethysmograms
https://doi.org/10.21122/2220-9506-2025-16-4-395-405
Abstract
Screening studies play an important role in the prevention of chronic diseases of the cardiovascular system. One of the methods of screening vascular diagnostics is the method of photoplethysmography, which is widely used to assess the state of the cardiovascular system. To increase the efficiency of screening studies, it is proposed to use an algorithm for automated processing of photoplethysmograms, which is based on a relative description of the shape of the pulse curve, represented as a lattice function of the digital signal of the photoplethysmogram. The advantages of the relative description of the digital representation of a photoplethysmogram is its invariance to linear transformations of the signal amplitude and its time shift. This is important when analyzing pulse curves due to the possibility of changing the amplitude parameters of the curve, as well as their time shift during their registration. In this case, the analysis of changes in the shape of the photoplethysmogram is carried out after it is presented as a matrix of the ratio of the order of the components of the lattice function, representing the digital representation of the photoplethysmogram after the analog-to-digital conversion of the analog representation of the photoplethysmogram. During screening studies, changes in the shape of the photoplethysmogram are detected by comparing it with the standard of the ratio matrix. The ratio matrix is derived from the grid function of the digital representation of a typical photoplethysmogram of a patient. Such a photoplethysmogram characterizes a certain disease of the cardiovascular system. As a result of comparing the ratio matrices, the proximity of the features of the typical form of the photoplethysmogram to the photoplethysmogram standards is determined, after which the diagnosis of the disease is established. To implement the proposed research algorithm, a block diagram of an automated system for screening the cardiovascular system is provided. In this scheme, a homomorphic relative description is used to represent the photoplethysmogram digitally. This makes it possible to identify individual changes in the shape of the photoplethysmogram associated with abnormalities in the state of the cardiovascular system. This approach expands the arsenal of technical tools used in screening the cardiovascular system.
About the Authors
V. A. AlekseevRussian Federation
Studencheskaya str., 7,
Izhevsk 426069
S. I. Yuran
Russian Federation
Address for correspondence:
Yuran S.I.
Udmurt State Agrarian University,
Studencheskaya str., 11,
Izhevsk 426069,
Russia
e-mail: yuran-49@yandex.ru
V. P. Usoltsev
Russian Federation
Studencheskaya str., 7,
Izhevsk 426069
References
1. Samorodskaya IV. Screening in cardiology. Complex Issues of Cardiovascular Diseases. 2018;7(4):92-100. DOI: 10.17802/2306-1278-2018-7-4-92-100 (In Russ.).
2. Dikarev VI, Kazakov NP, Lesnichy VV. Method of functional diagnostics of early stages of vascular pathology as a factor of medical and demographic safety of the population. Technical and technological problems of service. 2018;43(1):31-34. (In Russ.).
3. Khizbullin RN, Laryushin AI. Automated medical hardware complex for conducting pre-trip, post-trip examination of drivers and drivers of public and urban transport. Bulletin of the National Research Center of Life Safety. 2016;(1):105-114. (In Russ.).
4. Lushchik MV, Makeeva AV, Ostroukhova ON, Bolotskikh VI, Nagovitsin АК. The use of photoplethysmography for assessing microvascular bed as a method for diagnostic diseases of cardiovascular system. Journal of New Medical Technologies. 2022;(3):91-95. (In Russ.). DOI: 10.24412/1609-2163-2022-3-91-95
5. Allen J. Photoplethysmography and its application in clinical physiological measurement. Physiological measurements. 2007;28(3):1-39. DOI: 10.1088/0967-3334/28/3/R01
6. Simonyan MA, Posnenkova OM, Kiselev AR. Possibilities of photoplethysmography as a screening method for pathology of the cardiovascular system. Fundamental research in cardiology. 2020;7(1):e0102. (In Russ.). DOI: 10.15275/cardioit.2020.0102 1/5
7. Karimpour P, May JM, Kyriacou PA. Photoplethysmography for the Assessment of Arterial Stiffness. Sensors. 2023;23(24):9882. DOI: 10.3390/s23249882
8. Alekseev VA, Ardashev SA, Yuran SI. Automated photoplethysmograph. Devices and Methods of Measurements. 2013;1(6):46-51. (In Russ.).
9. Castaneda D, Aibhlin E, Mohammad G, Cinna S, Homer N. A review on wearable photoplethysmography sensors and their potential future applications in health care. International Journal of Biosensors & Bioelectronics. 2018;4(4):195-202. DOI: 10.15406/ijbsbe.2018.04.00125
10. Asada HH, Shaltis P, Reisner A, Rhee S, Hutchinson RC. Mobile monitoring with wearable photoplethysmographic biosensors. IEEE Engineering in Medicine and biology magazine. 2003;22(3):28-40. DOI: 10.1109/MEMB.2003.1213624
11. Kim KB, Baek HJ. Photoplethysmography in Wearable Devices: A Comprehensive Review of Technological Advances, Current Challenges, and Future Directions. Electronics. 2023;(12):Article 2923. DOI: 10.3390/electronics12132923
12. Tamura T, Maeda Y, Sekine M, Yoshida M. Wearable Photoplethysmographic Sensors –Past and Present. Electronics. 2014;3(2):282-302. DOI: 10.3390/Electronics3020282
13. Bhowmick S, Kundu PK, Mandal DD. IoT Assisted Real Time PPG Monitoring System for Health Care Application. IEEE Second International Conference on Control, Measurement and Instrumentation (CMI). Kolkata, India. 2021:122-127. DOI: 10.1109/CMI50323.2021.9362852
14. Fine J [et al.]. Sources of Inaccuracy in Photoplethysmography for Continuous Cardiovascular Monitoring. Biosensors (Basel). 2021;Apr 16;11(4):126. DOI: 10.3390/bios11040126
15. Alekseev VA, Yuran SI. Reducing the influence of artifacts in the registration of photoplethysmograms. Sensors and systems. 2007;(6):19-22. (In Russ.).
16. Moraes JL, Rocha MX, Vasconcelos GG, Vasconcelos Filho JE, De Albuquerque VHC, Alexandria AR. Advances in Photoplethysmography Signal Analysis for Biomedical Applications. Sensors. 2018;18(6):Article 1894. DOI: 10.3390/s18061894
17. SHrejder YUA. Logic of sign systems: elements of semiotics. Moscow, Librocom Publ. 2012;64 p.
18. Alekseev VA, Diesendorf KI, Yuran SI. Classifier of pulse curves using the ratio matrix. Intelligent systems in production. 2010;1(15):231-235. (In Russ.).
19. Kuznetsov OP. Discrete mathematics for an engineer. St. Petersburg, Lan Publishing House. 2004;400 p.
Review
For citations:
Alekseev V.A., Yuran S.I., Usoltsev V.P. Human Vascular System Screening System Using a Relative Description Photoplethysmograms. Devices and Methods of Measurements. 2025;16(4):395-405. (In Russ.) https://doi.org/10.21122/2220-9506-2025-16-4-395-405
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