Why the study?
ECG feature extraction is of great importance in diagnosing heart diseases and human biometric recognition, warranting a review of ECG techniques and their analysis.
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Design
Review
ECG analysis supports cardiac diagnosis and biometric security; leaves open prospective validation before clinical adoption.
Electrocardiogram (ECG) is an inconsistent signal that is used to measure the heart rate. Electrocardiogram is used recently to identify people and protect data as an optimal solution. It can also be used in unimodal and multimodal systems. One of the advantages of using an electrocardiogram is that the person is still alive. This makes plagiarism more difficult compared to any other biometric feature. Doctors can diagnose diseases by comparing the shape and pattern of signals. To diagnose a patient by recording an ECG. Noise is removed in order to obtain a better evaluation. We find that extract ECG is of great importance in diagnosing heart diseases and human recognition. One of the ECG cardiac sessions is made up of P-QRS-T waves. To determine the time and amplitude periods in the ECG by extracting the features or other features are analyzed at a later time. In this verse we will list the ECG techniques and their analysis.
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Basoum et al. (2024) studied this question.
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