Abstract
With the rapid development of medical imaging technology and artificial intelligence algorithms, cardiovascular monitoring systems have attracted more and more attention. The rapid progress and development of these cardiovascular monitoring technologies have provided a lot of help for the prevention and treatment of cardiovascular and cerebrovascular diseases. Research on cardiovascular monitoring systems has become an important topic. Therefore, this article designs a cardiovascular monitoring system based on medical imaging technology and artificial intelligence algorithms. This article introduces the ECG signal acquisition module and signal preprocessing module of the system in detail, and uses the wavelet decomposition algorithm in medical imaging technology to optimize the processing of the ECG signal. Aiming at the cardiovascular monitoring system designed in this article, this article has carried out targeted experiments. Experimental data shows that the standard deviation of systolic blood pressure measured by the sample machine is within 2.5, and the standard deviation of diastolic blood pressure is within 3.5. This shows that the system has high measurement accuracy.
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Ling, R., Jain, A. (2022). Cardiovascular Monitoring System Design Based on Medical Imaging Technology and Artificial Intelligence Algorithm. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 123. Springer, Cham. https://doi.org/10.1007/978-3-030-96908-0_121
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DOI: https://doi.org/10.1007/978-3-030-96908-0_121
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