Why the study?
Pre-processing steps are needed to prepare electrical ECG signal data for use as a biometric attribute in identification and recognition systems.
The study presents a novel ECG signal pre-processing and feature extraction pipeline to enhance the security and accuracy of biometric identification systems.
ECG biometrics for security is hypothesis-generating; prospective validation required before adoption.
The Electrocardiogram records the heart's electrical signals. It is a practice; a painless diagnostic procedure used to rapidly diagnose and monitor heart problems. The ECG is an easy, noninvasive method for diagnosing various common heart conditions. Due to its unique advantages that other humans do not share, in addition to the fact that the heart's electrical activity may be easily detected from the body's surface, security is another area of concern. On this basis, it has become apparent that there are essential steps of pre-processing to deal with data of an electrical nature, signals, and prepare them for use in Biometric systems. Since it depends on the structure and function of the heart, it can be utilized as a biometric attribute for identification and recognition. This academic paper presents a new data formatting technique to be used in biometric systems based on the two major dataset kinds, PTB and PTB-XL.
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AL-Jibory et al. (2022) studied this question.
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