Why the study?
Cardiovascular diseases are the main cause of mortality, and an existing gap remains between cardiac electrophysiology and common diagnostic methods for analyzing the electromagnetic field of the heart. A biophysical, non-invasive cardiac diagnostic system is needed to provide timely diagnosis during free activity and reduce subsequent treatment costs.
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Portable arrhythmia monitors may enable earlier intervention in high-burden regions; leaves open prospective outcome trials before adoption.
Cardiovascular diseases continue to be the main cause of mortality. According to the official source, over the past three years in Kazakhstan, an average of 179,200 people dies from the coronary disease per year. 1,360,000 people suffer from this disease, that is, almost every twelfth Kazakhstani today suffers from coronary heart disease. An average of 272,000 people are admitted to hospitals annually with an acute heart attack [1]. To minimize damage to the population and medicine, timely diagnosis is necessary, which reduces the cost of subsequent treatment.The paper considers the system of non-invasive cardiac diagnostics, based on a biophysical approach. The system allows to fill the existing gap between electrophysiology of the heart and the most common methods of analysis of the electromagnetic field of the heart for diagnostic purposes. The developed system of non-invasive cardiac diagnosis uses the latest advances in information technology that allows to record, collect, store and process cardiographic information.The product allows you to monitor the state of human health around the clock with the identification of pathologies and the determination of their development trends and with the formation of alarm alerts indicating the location of the subscriber and instant analysis of the physiological parameters of the heart. Such experience can be successfully used for personal monitoring of human health, regardless of his location.
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Alimbayev et al. (2020) studied Life-threatening cardiac arrhythmias. Portable cardio analyzer with Hilbert-Huang transform noise-resistant ECG processing was evaluated on ECG signal noise suppression and life-threatening arrhythmia detection.
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