Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions.
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI Publishers, Basel Switzerland
Abstract
Abstract: Electrocardiography (ECG) is one of the most widely used recordings in clinical medicine.
ECG deals with the recording of electrical activity that is generated by the heart through the surface of
the body. The electrical activity generated by the heart is measured using electrodes that are attached
to the body surface. The use of ECG in the diagnosis and management of cardiovascular disease
(CVD) has been in existence for over a decade, and research in this domain has recently attracted
large attention. Along this line, an expert system (ES) and decision support system (DSS) have
been developed for ECG interpretation and diagnosis. However, despite the availability of a lot of
literature, access to recent and more comprehensive review papers on this subject is still a challenge.
This paper presents a comprehensive review of the application of ES and DSS for ECG interpretation
and diagnosis. Researchers have proposed a number of features and methods for ES and DSS
development that can be used to monitor a patient’s health condition through ECG recordings. In this
paper, a taxonomy of the features and methods for ECG interpretation and diagnosis were presented.
The significance of the features and methods, as well as their limitations, were analyzed. This review
further presents interesting theoretical concepts in this domain, as well as identifies challenges and
open research issues on ES and DSS development for ECG interpretation and diagnosis that require
substantial research effort. In conclusion, this paper identifies important future research areas with
the purpose of advancing the development of ES and DSS for ECG interpretation and diagnosis.
Description
Keywords
Keywords: electrocardiogram; ECG; cardiovascular disease; expert system; decision support system; heartbeat; heart rate variability
Citation
Applied Sciences 12(23):12342.