Heart Rate Measurement Algorithm in the Monitoring System of Human Body Condition
https://doi.org/10.35596/1729-7648-2023-29-4-66-72
Abstract
The questions of measuring heart rate in systems for monitoring the functional state of a person operating in real time are considered. Recorders of systems of this class are sensitive to interference and noise caused by motor artifacts, electromagnetic interference from external sources, temporary degradation of sensors, etc. The ratio for the calculation of the heart rate is given and the calculation algorithm is described, which consists in registering an electrocardiogram, calculating the electrocardiogram spectrogram and forming the first numerical array from it, calculating the second Fourier transform of the numerical values of the rows of the first array and peak analysis of the newly obtained amplitude spectra. The implementation of the algorithm makes it possible to obtain a more accurate quantitative assessment of the heart rate in real time in the presence of interference and noise.
About the Authors
A. N. OsipovBelarus
Anatoly N. Osipov - Cand. of Sci., Head of the Center for Interdisciplinary Research of the Belarusian State University of Informatics and Radioelectronics.
220013, Minsk, P. Brovki St., 6
Tel.: +375 17 293-85-40
O. Ch. Rolich
Belarus
Oleg Ch. Rolich - Cand. of Sci., Associate Professor, Associate Professor at the Department of Information and Computer-Aided Systems of the Belarusian State University of Informatics and Radioelectronics.
Minsk
A. P. Kluev
Belarus
Andrey P. Kluev - Senior Lecturer at the Department of Engineering Psychology and Ergonomics of the Belarusian State University of Informatics and Radioelectronics.
Minsk
V. D. Vladymtsev
Belarus
Vadim D. Vladymtsev - Assistant at the Department of Computer Science of the Belarusian State University of Informatics and Radioelectronics.
Minsk
S. A. Migalevich
Belarus
Sergey A. Migalevich - M. of Sci., Head of the Center for Informatization and Innovative Developments of the Belarusian State University of Informatics and Radioelectronics.
Minsk
I. O. Khazanovsky
Belarus
Igor О. Khazanovsky - Deputy Head of the Research and Production and Educational Innovative Center of Microwave Technologies and their Metrological Supply of R&D Department of the Belarusian State University of Informatics and Radioelectronics.
Minsk
References
1. Islam Md. M., Rahaman A., Islam Md. R. (2020) Development of Smart Healthcare Monitoring System in IoT Environment. SN Computer Science. 185 (1), 1–11. Available: https://doi.org/10.1007/s42979-020-00195-y.
2. Pradhan B., Bhattacharyya S., Pal K. (2021) IoT-Based Applications in Healthcare Devices. Journal of Healthcare Engineering. 2021, 1–18. Available: https://downloads.hindawi.com/journals/jhe/2021/6632599.pdf.
3. Mahmoud N., El-Sappagh S., Abdelrazek S. M., El-Bakry H. M. (2020) A Real-Time Framework for Patient Monitoring Systems Based on a Wireless BodyArea Network. International Journal of Computer Applications. 176 (27), 12–21. Available: https://www.ijcaonline.org/archives/volume176/number27/mahmoud-2020-ijca-920274.pdf.
4. Sowmya K. V., Teju V. (2021) An Efficeint Health Monitoring System with Temperature and Heart Rate Sensors Using IoT. European Journal of Molecular & Clinical Medicine. 8 (2), 793–802. Available: https://ejmcm.com/article_7497_1eb61761da420cc16e28825b0ea9f268.pdf.
5. Ghosh A., Raha A., Mukherjee A. (2020) Energy-Efficient IoT-Health Monitoring System using Approximate Computing. Internet of Things. (9), 1–16. Available: https://doi.org/10.1016/j.iot.2020.100166.
6. Osipov A. N., Kluev A. P., Rolich O. Ch., Migalevich S. A., Vladymtsev V. D., Hazanov I. O., Patseev A. V., Patseev S. V. (2022) Architecture of Human Body Condition Remote Monitoring System Based on IoT. Medelectronics–2022. Medical Electronic Devices and New Medical Technologies: Sientifical Articles Book XIII International Sci.-Tech. Conference, Minsk, 8–9 Dec. 2022. Minsk, Belarusian State University of Informatics and Radioelectronics. 40–42. Available: https://www.bsuir.by/m/12_100229_1_168906.pdf (in Russian).
7. Rolich O. Ch., Tarasenko V. E., Mihaevich D. A. (2020) Algorithm of Signals Processing in Integrated Systems of Vibroacoustic and Thermal Diesel Engine Diagnostics. Agropanoram. (6), 38–41. Available: https://rep.bsatu.by/bitstream/doc/12920/1/2020_6.9.algoritmi.pdf (in Russian).
8. Rolich O. Ch., Tarasenko V. E., Mihaevich D. A., Zheshko A. A. (2022) Spectral-Statistical Analysis of Diesel Elements Vibroacoustic Signals. Agropanoram. (4), 24–28. Available: https://rep.bsatu.by/bitstream/doc/16854/1/2022_4.5.spektralno-statisticheskij.pdf (in Russian).
9. Fedotov A. A., Akulov S. A. (2013) Mathematical Modeling and Analisys of Biomedical Signal Converters Measuring Errors. Moscow, Physmatlit Publ. 282. Available: https://ssau.ru/files/resources/sotrudniki/fizmatlit.pdf (in Russian).
10. Kyznetsov A. A. (2013) Biophysics of Heart. Electrocardiographic Holter Monitoring for Research of Heart Rate Variability of Conditionally Healthy People. Vladimir, Vladimir State University Publ. 84. Available: http://op.vlsu.ru/fileadmin/Programmy/Magistratura/12.04.04/Metod_doc/UP_BFSk2_BTS.pdf (in Russian).
Review
For citations:
Osipov A.N., Rolich O.Ch., Kluev A.P., Vladymtsev V.D., Migalevich S.A., Khazanovsky I.O. Heart Rate Measurement Algorithm in the Monitoring System of Human Body Condition. Digital Transformation. 2023;29(4):66-72. (In Russ.) https://doi.org/10.35596/1729-7648-2023-29-4-66-72