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Vol.11, No.4, November 2022. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Preparing of ECG Dataset for Biometric ID Identification with Creative Techniques
Farah khiled AL-Jibory, Mohammed Akram Younis, Mohammed S. H. Al- Tamimi
© 2022 Farah khiled AL-Jibory, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 11, Issue 4, Pages 1500-1507, ISSN 2217-8309, DOI: 10.18421/TEM114-10, November 2022.
Received: 01 July 2022. Revised: 12 September 2022.
Abstract:
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.
Keywords – Electrocardiogram, Signals, Security, Biometric, PTB, PTB-XL. |
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