Mohd Nawawi, Muhammad Muizz and Sidek, Khairul Azami and Azman, Amelia Wong (2024) ECG in real world scenario: time variability in biometric using wearable smart textile shirts. Journal of Advanced Research in Applied Sciences and Engineering Technology, 40 (2). pp. 36-49. ISSN 2462-1943
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Abstract
Biomedical signals, such as an electrocardiogram (ECG), have been included in wearable platforms for biometric reasons due to the rapid expansion of apps and technology capable of gathering this physiological data. Most studies using ECG biometrics are conducted in clinical settings, which is impractical for wearable ECG-based biometric applications. Therefore, this study aims to determine the reliability of ECG signals obtained from the commercially available Hexoskin Proshirt and HeartIn Fit shirt, which may be worn for biometric verification in real-world scenarios. ECG data from 22 participants were collected over a span period of more than 30 days. The raw ECG signal is first pre-processed in the time domain using noise-removal Butterworth filters, and then a successful QRS segmented feature extraction method is used. Not to mention, 300 datasets were used to test the recommended recognition method using a Quadratic Support Vector Machine (QSVM). In comparison, around 854 datasets were prepared for training and validation of the classifier. The findings showed that the proposed method provided a considerable accuracy above 99.63 % with a FAR of 0.14 %, an FRR of 2.86 %, and a TPR of 97.14 %. Thus, the study supports using ECG biometrics for verification in real-world settings by employing a smart textile shirt with varying temporal variability.
Item Type: | Article (Journal) |
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Additional Information: | 4698/111227 |
Uncontrolled Keywords: | ECG; Biometric; Authentication; Smart Shirt; Wearable; Time Variability |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering |
Depositing User: | Assoc Prof Dr Khairul Azami Sidek |
Date Deposited: | 08 Mar 2024 10:40 |
Last Modified: | 02 Aug 2024 12:10 |
URI: | http://irep.iium.edu.my/id/eprint/111227 |
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