Analysis Techniques and Feature Extraction on ECG: A Review | ||||
| Scientific Journal of Faculty of Science, Menoufia University | ||||
| Volume 28, Issue 1, June 2024, Page 1-8 PDF (401.5 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/sjfsmu.2024.357471 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mariana Basoum  1; Ibrahim Omara2; Mohamed Khalaf2
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| 1Assistant Professor at Mathematics and Computer Science Department, Faculty of Science, Menoufia University | ||||
| 2Department of Mathematics and Computer Science, Faculty of Science, Menoufia University, Egypt | ||||
| Abstract | ||||
| 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. | ||||
| Keywords | ||||
| Electrocardiogram; biometrics; P-QRS-T waves | ||||
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