Methodological identification of anomalies episodes in ECG streams: a systematic mapping study

Abstract

An electrocardiogram is a medical examination tool for measuring different patterns of heart blood flow circle either in the form of usual or non-invasive patterns. These patterns are useful for the identification of morbidity condition of the heart especially in certain conditions of heart abnormality and arrhythmia. Myocardial infarction (MI) is one of them that happened due to sudden blockage of blood by the cause of malfunction of heart. In electrocardiography (ECG) intensity of MI is highlighted on the basis of unusual patterns of T wave changes. Various studies have contributed for MI through T wave's classification, but more to the point of T wave has always attracted the ECG researchers. Methodology. This Study is primarily designed for proposing the combination of latest methods that are worked for the solutions of pre-defined research questions. Such solutions are designed in the form of the systematic review process (SLR) by following the Kitchen ham guidance. The literature survey is a two phase's process, at first phase collect the articles that were published in IEEE Xplore, Scopus, science direct and Springer from 2008 to 2023. It consist of steps; the first level is executed by filtrating the articles on the basis of keyword phase of title and abstract filter. Similarly, at two level the manuscripts are scanned through filter of eligibility criteria of articles selection. The last level belongs to the quality assessment of articles, in such level articles are rectified through evaluation of domain experts. Results. Finally, the selected articles are addressed with research questions and briefly discuss these selected state-of-the-art methods that are worked for the T wave classification. These address units behave as solutions to research problems that are highlighted in the form of research questions. Conclusion and future directions. During the survey process for these solutions, we got some critical observations in the form of gaps that reflected the other directions for researchers. In which feature engineering, different dependencies of ECG features and dimensional reduction of ECG for the better ECG analysis are reflection of future directions.

Keywords: And Electrocardiography; Classification; Myocardial infraction; Systematic literature review; T wave.

Fig. 1

Articles maps with a scoring range

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Rating ratio of different reviewers

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Reviewer analysis of selected articles

Fig. 4

Selection Process of articles for composition of this systematic study

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Categorization of selected articles in the form of pie view

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Categorization of research questions address up for result generation

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Parametric analysis of T wave in ECG

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The basic structure of the neural network, in input, hidden, and output layers are essential builder part

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Ontology Behavior model: Identification of intercouple and intracouple relationship in behaviors and behavior refiner

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Classification of T wave anomalies analysis

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Parametric Classification for T wave

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Dependencies perspective of the T wave

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Classification of T wave with NN

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Three-way handshake structure for robust classification of different T wave episodes

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Future direction for ECG analysis in terms of different anomalies analysis