Pulse active harmonic (PAH) features for ECG biometric authentication

Sairul Izwan Bin Safie; Haris Nur; Zainal Azavitra; John Soraghan; Lykourgos Petropoulakis

doi:10.1109/AIMS.2013.47

Pulse active harmonic (PAH) features for ECG biometric authentication

Sairul Izwan Bin Safie, Haris Nur, Zainal Azavitra, John Soraghan, Lykourgos Petropoulakis

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

Abstract

This paper presents a feature extraction method known as Pulse Active Harmonic (PAH) implemented on electrocardiograph (ECG) signals for biometric authentication. The technique is based on a pulse width modulation concept. A total of 200 Eggs from 100 subjects, taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in the simulations. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. This work shows that: a) the PAH method outperforms conventional temporal feature extraction techniques, b) its performance is comparable to other, previously introduced, Pulse Active based methods. Hence, owing to their close similarities Pulse Active approaches can readily be combined to form robust and inherently secure biometric authentication systems.

Original language	English
Title of host publication	2013 1st International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)
Publisher	IEEE
Pages	255 - 260
Number of pages	6
ISBN (Print)	978-1-4799-3250-4
DOIs	https://doi.org/10.1109/AIMS.2013.47
Publication status	Published - 5 Apr 2013

Keywords

electrocardiography
pulse active harmonics
feature extraction
harmonic analysis

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10.1109/AIMS.2013.47

Cite this

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title = "Pulse active harmonic (PAH) features for ECG biometric authentication",

abstract = "This paper presents a feature extraction method known as Pulse Active Harmonic (PAH) implemented on electrocardiograph (ECG) signals for biometric authentication. The technique is based on a pulse width modulation concept. A total of 200 Eggs from 100 subjects, taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in the simulations. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. This work shows that: a) the PAH method outperforms conventional temporal feature extraction techniques, b) its performance is comparable to other, previously introduced, Pulse Active based methods. Hence, owing to their close similarities Pulse Active approaches can readily be combined to form robust and inherently secure biometric authentication systems.",

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author = "{Bin Safie}, {Sairul Izwan} and Haris Nur and Zainal Azavitra and John Soraghan and Lykourgos Petropoulakis",

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T1 - Pulse active harmonic (PAH) features for ECG biometric authentication

AU - Bin Safie, Sairul Izwan

AU - Nur, Haris

AU - Azavitra, Zainal

AU - Soraghan, John

AU - Petropoulakis, Lykourgos

PY - 2013/4/5

Y1 - 2013/4/5

N2 - This paper presents a feature extraction method known as Pulse Active Harmonic (PAH) implemented on electrocardiograph (ECG) signals for biometric authentication. The technique is based on a pulse width modulation concept. A total of 200 Eggs from 100 subjects, taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in the simulations. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. This work shows that: a) the PAH method outperforms conventional temporal feature extraction techniques, b) its performance is comparable to other, previously introduced, Pulse Active based methods. Hence, owing to their close similarities Pulse Active approaches can readily be combined to form robust and inherently secure biometric authentication systems.

AB - This paper presents a feature extraction method known as Pulse Active Harmonic (PAH) implemented on electrocardiograph (ECG) signals for biometric authentication. The technique is based on a pulse width modulation concept. A total of 200 Eggs from 100 subjects, taken from the Physikalisch-Technische Bundesanstalt (PTB) database are used in the simulations. Biometric performance profile such as the area under ROC (AUR) and equal error rate (EER) are then used to evaluate the results. This work shows that: a) the PAH method outperforms conventional temporal feature extraction techniques, b) its performance is comparable to other, previously introduced, Pulse Active based methods. Hence, owing to their close similarities Pulse Active approaches can readily be combined to form robust and inherently secure biometric authentication systems.

KW - electrocardiography

KW - pulse active harmonics

KW - feature extraction

KW - harmonic analysis

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DO - 10.1109/AIMS.2013.47

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BT - 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

PB - IEEE

ER -

Pulse active harmonic (PAH) features for ECG biometric authentication

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Keywords

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