Key result
Novel ECG algorithm detects reference points with ~100% accuracy, outperforming standard Pan-Tompkins methods.
Why the study?
Emergency arrhythmia diagnosis must occur within several tens of seconds, requiring new real-time algorithms for detecting informative features indicating arrhythmia on digital electrocardiograms.
Absolute Event Rate: 99.92% vs 99.73%
The proposed real-time ECG reference point detection algorithm demonstrates high accuracy, which can improve automated arrhythmia diagnostics in digital cardiac monitors.
Relevance . The use of digital electrocardiographs and cardiac monitors with built-in algorithms for automatic processing, analysis and interpretation of electrocardiograms allows the doctor to effectively diagnose cardiac arrhythmias. It is known that in order to provide emergency care to a patient, the duration of arrhythmia diagnostics should not exceed several tens of seconds, which requires the emergence of new algorithms for detecting informative features indicating arrhythmia, operating in real time. The need to introduce new and effective technologies for diagnosing cardiovascular diseases is also reflected in public health development programmes. Research goal. Development and quality indicators analysis of the algorithm for reference points detection on a digital electrocardiogram, bearing informative signs for the procedure of arteries diagnosis. The methods used . The study is based on an analysis of existing approaches to the problem of reference points detection on digital electrocardiogram, as well as conducting a test of the proposed algorithms by mathematical modelling methods. The quality indicators of the algorithms defined in accordance with the principles of signal detection theory and diagnostic testing, at the junction of which the task of electrocardiogram reference point detection is located. The proposed algorithm was tested on materials of MIT-BIH Arrhythmia Database, which is widely used for verification and validation of real-time digital electrocardiogram signal processing algorithms. The results. The study proposes an algorithm for detecting reference points on a digital electrocardiogram that carry informative features for the arrhythmia diagnostic procedure. The proposed algorithm is based on digital signal filtering using a decision rule based on a three-step two-threshold principle of pre-processed electrocardiogram signal values comparison on a sliding window. An experiment on the materials of the open verified MIT-BIH Arrhythmia DB showed that the quality of the proposed algorithm for detecting reference points is higher than that of the algorithms used in modern digital electrocardiographs and cardiac monitors. The proposed algorithm based on digital signal filtering and the three-step two-threshold decision rule have elements of scientific novelty . The significance . The results of this work can be used in the development of digital heart rate monitors, cardiac devices and for automatic processing, analysis and real-time computer-assisted digital electrocardiogram signal interpretation.
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В. K. Akopyan (2024) studied Cardiac arrhythmias (ECG signal processing). Algorithm for detecting reference points on a digital electrocardiogram based on digital signal filtering and a three-step two-threshold decision rule vs. Pan-Tompkins algorithm and correlation-extremal algorithm was evaluated on Quality indicators of the algorithm (FQRS). The proposed algorithm based on digital signal filtering and a three-step two-threshold decision rule achieved an FQRS of 99.92%, outperforming the Pan-Tompkins and correlation-extremal algorithms for detecting reference points on digital electrocardiograms.
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