Verification of humans using the electrocardiogram

Wübbeler, Gerd; Stavridis, Manuel; Kreiseler, D.; Bousseljot, R.; Elster, Clemens

doi:10.1016/j.patrec.2007.01.014

Cited by 207 publications

(156 citation statements)

References 9 publications

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“…. , , from the given gallery signal as in (3). Therefore, the storage requirement for the whole gallery set is linear to the number of persons; that is, ( ) as the dimension of the feature ( ) is constant.…”

Section: 5mentioning

confidence: 99%

“…In fact, a heartbeat signal can be proposed as a biometric modality in remote authentication for several inherent qualities. First, the heartbeat signal holds a unique signature for each person and is stable over a long period of time [2][3][4]. Second, every living person must have a heartbeat signal and it can be captured from the hands for biometric applications [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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Heartbeat Biometrics for Remote Authentication Using Sensor Embedded Computing Devices

Islam

2015

International Journal of Distributed Sensor Networks

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Biometric verification has been included in remote user authentication schemes recently. In this paper, we have proposed the use of heartbeat biometrics for its liveness property as a possible defense against spoof attacks in remote authentication. Sensor embedded mobile computing devices such as smart phones could be used to capture biometric signals and to replace the use of traditional smart cards. For the remote authentication, we have adopted the state-of-the-art scheme. We have described the biometric verification method instead of using cryptographic hash function for feature matching. We have used the piecewise aligned morphology (PAM) of heartbeat signal as a biometric feature. The biometric verification method was tested with ECG records of 100 individuals and 1.34% of equal error rate (EER) was obtained. This feature could be computed and transmitted efficiently using mobile computing devices. The proposed scheme offers more security and convenience to users. Additionally, it becomes robust against noisy biometric input. The proposed scheme should be feasible for remote authentication using sensor embedded computing devices in many practical applications such as remote healthcare.

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Section: 5mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Heartbeat Biometrics for Remote Authentication Using Sensor Embedded Computing Devices

Islam

2015

International Journal of Distributed Sensor Networks

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“…With the objective of capturing the repetitive pattern of ECG, the authors suggested the AC of an ECG segment as a way to avoid fiducial points detection. Wübbeler et al [4] have also reported an ECG-based human recognizer by extracting biometric features from a combination of leads I, II, and III, that is, a two-dimensional heart vector also known as the characteristic of the ECG. A methodology for ECG synthesis was proposed by Molina et al [26].…”

Section: Fiducial-independent Approachesmentioning

confidence: 99%

“…However, there is evidence that some of these vital signals such as the ECG, phonocardiogram (PCG), photoplethysmogram (PPG), and blood volume pressure (BVP) carry information which is unique for every individual [1][2][3][4][5]. With the advances in the sensing technology, the potential of using these signals for biometric recognition is great.…”

Section: Introductionmentioning

confidence: 99%

Secure Telemedicine: Biometrics for Remote and Continuous Patient Verification

Agrafioti

Bui

Hatzinakos

2012

Journal of Computer Networks and Communications

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The technological advancements in the field of remote sensing have resulted in substantial growth of the telemedicine industry. While health care practitioners may now monitor their patients' well-being from a distance and deliver their services remotely, the lack of physical presence introduces security risks, primarily with regard to the identity of the involved parties. The sensing apparatus, that a patient may employ at home, collects and transmits vital signals to medical centres which respond with treatment decisions despite the lack of solid authentication of the transmitter's identity. In essence, remote monitoring increases the risks of identity fraud in health care. This paper proposes a biometric identification solution suitable for continuous monitoring environments. The system uses the electrocardiogram (ECG) signal in order to extract unique characteristics which allow to discriminate users. In security, ECG falls under the category of medical biometrics, a relatively young but promising field of biometric security solutions. In this work, the authors investigate the idiosyncratic properties of home telemonitoring that may affect the ECG signal and compromise security. The effects of psychological changes on the ECG waveform are taken into consideration for the design of a robust biometric system that can identify users based on cardiac signals despite physical or emotional variations.

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“…Wubbeler et al (2007) identified 74 individuals using 234 sessions. Zonios et al (2004) characterised the pulse oximetry trace as a function of subject's state of anxiety.…”

Section: Experimental Datamentioning

confidence: 99%

Heartbeat biometrics: a sensing system perspective

Israel¹,

Irvine²

2012

IJCB

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This paper reviews the emerging research into exploitation of heartbeat data as a biometric for human identification. A variety of methods have been proposed for acquiring heartbeat signatures and a range of processing methods has been examined. We approach the biometric identification and verification problem by characterising the three major factors affecting performance: individual variants, environmental variants, and sensor variants. The ability to collect and process the signal, exploit the data for individual identification or verification, and disseminate the information depends on all three of these factors. Within each component, we have identified the relevant research. Where possible, we have tied these research papers to practical examples using high resolution ECG data. The research indicates that the heartbeat contains rich information about the individual, their level of anxiety, and the cardiac state.Keywords: biometrics; heartbeat; ECG; sensing system; cardiovascular function; human identification. areas of interest include novel biometrics, signal and image processing, quantification and modelling of data quality, and cognitive modeling. He was a Principal Investigator for DARPA's Human Identification at a Distance Program (HumanID). He serves on planning committees for IEEE and SPIE, and has served on several advisory panels for the Department of Defence and the Department of Energy. He has authored over a hundred journal and conference papers and holds a PhD in Mathematical Statistics from Yale University.

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Verification of humans using the electrocardiogram

Cited by 207 publications

References 9 publications

Heartbeat Biometrics for Remote Authentication Using Sensor Embedded Computing Devices

Heartbeat Biometrics for Remote Authentication Using Sensor Embedded Computing Devices

Secure Telemedicine: Biometrics for Remote and Continuous Patient Verification

Heartbeat biometrics: a sensing system perspective

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