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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science

Amelia Wong Azman

International Islamic University Malaysia

Author-ID : 2460490

Computer Science & IT Electrical & Electronics Engineering Engineering

Published : 10 Documents Claim Missing Document

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Frequency dependency analysis for differential capacitive sensor Nurul Arfah Che Mustapha; A. H. M. Zahirul Alam; Sheroz Khan; Amelia Wong Azman
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

A differential capacitive sensing technique is discussed in this paper. The differential capacitive sensing circuit is making use of a single power supply. The design focus for this paper is on the excitation frequency dependency analysis to the circuit. Theory of the differential capacitive sensor under test is discussed and derivation is elaborated. Simulation results are shown and discussed. Next, results improvement has also been shown in this paper for comparison. Test was carried out using frequency from 40 kHz up to 400 kHz. Results have shown output voltage of Vout=0.07927 Cx+1.25205 and good linearity of R-squared value 0.99957 at 200 kHz. Potential application for this capacitive sensor is to be used for energy harvesting for its potential power supply.

Parasitic consideration for differential capacitive sensor Nurul Arfah Che Mustapha; A. H. M. Zahirul Alam; Sheroz Khan; Amelia Wong Azman
Bulletin of Electrical Engineering and Informatics Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Parasitic integration for a single supply differential capacitive sensing technique is presented in this paper. In real capacitive sensor measurement, parasitic impedance exists in its measurement. This paper objective is to study the effect of capacitive and resistive parasitic to the capacitive sensor circuit. The differential capacitive sensor circuit derivation theory is elaborated first. Then, comparison is made using simulation. Test was carried out using frequency from 40 kHz up to 400 kHz. Result is presented and have shown good linearity of 0.99984 at 300 kHz, R-squared value. This capacitive sensor is expected to be used for energy harvesting application.

ECG biometric in real-life settings: analysing different physiological conditions with wearable smart textiles shirts Muhammad Muizz Mohd Nawawi; Khairul Azami Sidek; Amelia Wong Azman
Bulletin of Electrical Engineering and Informatics Vol 12, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i5.5133

The adoption of biomedical signals such as the electrocardiogram (ECG) for biometric is rising in tandem with the increased attention to wearable devices. However, despite its potential benefits, ECG is rarely implemented as a biometric mechanism in real-life wearable applications. Therefore, this research aims to analyse the ECG signals extracted from wearable Hexoskin Proshirt for biometric authentication in different physiological conditions. A total of 11 subjects participated in this study, where the ECG signals were recorded while standing, sitting, walking, and uncontrolled activity. The raw ECG signal is first pre-processed using noise-removal butterworth filters in the time domain, followed by an efficient QRS segmented feature extraction approach. Finally, around 854 datasets were generated for training and validation, while the remaining 300 were used to test the proposed recognition method with a quadratic support vector machine (QSVM). The results show that the proposed method achieved a reliable accuracy above 98% with false acceptance rate (FAR) of 0.93%, false rejection rate (FRR) of 3.64%, and true positive rate (TPR) above 96% on the in-house datasets. This researchs findings confirm the possibility of using ECG biometrics for authentication purposes in various real-life settings with varying physiological parameters using a smart textile shirt.

Co-Authors A. H. M. Zahirul Alam AHM Zahirul Alam Ahmed Al-Hashimi Anis Nurashikin Nordin Dua’a Mahmoud Al-Qudah Huda Adibah Mohd Ramli Khairul Azami Sidek Mohamed Hadi Habaebi Muhammad Farhan Azman Muhammad Muizz Mohd Nawawi Nurul Arfah Che Mustapha Rashidah Funke Olanrewaju Sheroz Khan Siti Mohd Ariff Yasir Mohd Mustafah

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Journal : Bulletin of Electrical Engineering and Informatics