ECG biometric authentication using pulse active width (PAW)

Sairul Izwan Bin Safie; John Soraghan; Lykourgos Petropoulakis

doi:10.1109/BIOMS.2011.6052382

ECG biometric authentication using pulse active width (PAW)

Sairul Izwan Bin Safie, John Soraghan, Lykourgos Petropoulakis

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

14 Citations (Scopus)

Abstract

This paper presents a new feature extraction method known as Pulse Active Width (PAW) implemented on electrocardiogram (ECG) for biometric authentication. This method is developed based on the concept of Pulse Width Modulation (PWM). A total of 196 ECGs from 98 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. It is shown that the PAW method outperforms conventional temporal feature extraction techniques

Original language	English
Title of host publication	2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS
Place of Publication	New York
Publisher	IEEE
Pages	21-26
Number of pages	6
ISBN (Print)	9781457707650
DOIs	https://doi.org/10.1109/BIOMS.2011.6052382
Publication status	Published - 28 Sept 2011
Event	IEEE Workshop on Biometric Measurements, Systems for Security and Medical Applications - Milan, Italy Duration: 28 Sept 2011 → 28 Sept 2011

Conference

Conference	IEEE Workshop on Biometric Measurements, Systems for Security and Medical Applications
Country/Territory	Italy
City	Milan
Period	28/09/11 → 28/09/11

Keywords

biometric measurements
security and medical applications
ECG
pulse active width
PAW
authentication
training
feature extraction
electrocardiography
databases
correlation
electroencephalography

Access to Document

10.1109/BIOMS.2011.6052382

Cite this

@inbook{553f18cfe4bb454b8b376fa6edfb9c7c,

title = "ECG biometric authentication using pulse active width (PAW)",

abstract = "This paper presents a new feature extraction method known as Pulse Active Width (PAW) implemented on electrocardiogram (ECG) for biometric authentication. This method is developed based on the concept of Pulse Width Modulation (PWM). A total of 196 ECGs from 98 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. It is shown that the PAW method outperforms conventional temporal feature extraction techniques",

keywords = "biometric measurements , security and medical applications , ECG, pulse active width, PAW, authentication , training , feature extraction , electrocardiography , databases , correlation , electroencephalography ",

author = "{Bin Safie}, {Sairul Izwan} and John Soraghan and Lykourgos Petropoulakis",

year = "2011",

month = sep,

day = "28",

doi = "10.1109/BIOMS.2011.6052382",

language = "English",

isbn = "9781457707650",

pages = "21--26",

booktitle = "2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS",

publisher = "IEEE",

note = "IEEE Workshop on Biometric Measurements, Systems for Security and Medical Applications ; Conference date: 28-09-2011 Through 28-09-2011",

}

Bin Safie, SI, Soraghan, J & Petropoulakis, L 2011, ECG biometric authentication using pulse active width (PAW). in 2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS. IEEE, New York, pp. 21-26, IEEE Workshop on Biometric Measurements, Systems for Security and Medical Applications, Milan, Italy, 28/09/11. https://doi.org/10.1109/BIOMS.2011.6052382

TY - CHAP

T1 - ECG biometric authentication using pulse active width (PAW)

AU - Bin Safie, Sairul Izwan

AU - Soraghan, John

AU - Petropoulakis, Lykourgos

PY - 2011/9/28

Y1 - 2011/9/28

N2 - This paper presents a new feature extraction method known as Pulse Active Width (PAW) implemented on electrocardiogram (ECG) for biometric authentication. This method is developed based on the concept of Pulse Width Modulation (PWM). A total of 196 ECGs from 98 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. It is shown that the PAW method outperforms conventional temporal feature extraction techniques

AB - This paper presents a new feature extraction method known as Pulse Active Width (PAW) implemented on electrocardiogram (ECG) for biometric authentication. This method is developed based on the concept of Pulse Width Modulation (PWM). A total of 196 ECGs from 98 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. It is shown that the PAW method outperforms conventional temporal feature extraction techniques

KW - biometric measurements

KW - security and medical applications

KW - ECG

KW - pulse active width

KW - PAW

KW - authentication

KW - training

KW - feature extraction

KW - electrocardiography

KW - databases

KW - correlation

KW - electroencephalography

UR - http://www.scopus.com/inward/record.url?scp=81455139361&partnerID=8YFLogxK

UR - http://bioms2011.dti.unimi.it/

UR - http://bioms2011.dti.unimi.it/program.php

U2 - 10.1109/BIOMS.2011.6052382

DO - 10.1109/BIOMS.2011.6052382

M3 - Chapter (peer-reviewed)

SN - 9781457707650

SP - 21

EP - 26

BT - 2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS

PB - IEEE

CY - New York

T2 - IEEE Workshop on Biometric Measurements, Systems for Security and Medical Applications

Y2 - 28 September 2011 through 28 September 2011

ER -

ECG biometric authentication using pulse active width (PAW)

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this