Affiliation:
1. Belarusian State University of Informatics and Radioelectronics
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.
Publisher
Belarusian State University of Informatics and Radioelectronics
Reference10 articles.
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.
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