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Sensors 2015, 15(8), 20730-20751; doi:10.3390/s150820730

ECG Sensor Card with Evolving RBP Algorithms for Human Verification

1
Department of Computer Science and Technology, Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen 518055, China
2
Department of Mathematics, Tunghai University, Taichung 40704, Taiwan
3
Department of Mathematics, University of Michigan, Flint 48502, MI, USA
*
Authors to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 14 June 2015 / Revised: 28 July 2015 / Accepted: 6 August 2015 / Published: 21 August 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [1077 KB, uploaded 24 August 2015]   |  

Abstract

It is known that cardiac and respiratory rhythms in electrocardiograms (ECGs) are highly nonlinear and non-stationary. As a result, most traditional time-domain algorithms are inadequate for characterizing the complex dynamics of the ECG. This paper proposes a new ECG sensor card and a statistical-based ECG algorithm, with the aid of a reduced binary pattern (RBP), with the aim of achieving faster ECG human identity recognition with high accuracy. The proposed algorithm has one advantage that previous ECG algorithms lack—the waveform complex information and de-noising preprocessing can be bypassed; therefore, it is more suitable for non-stationary ECG signals. Experimental results tested on two public ECG databases (MIT-BIH) from MIT University confirm that the proposed scheme is feasible with excellent accuracy, low complexity, and speedy processing. To be more specific, the advanced RBP algorithm achieves high accuracy in human identity recognition and is executed at least nine times faster than previous algorithms. Moreover, based on the test results from a long-term ECG database, the evolving RBP algorithm also demonstrates superior capability in handling long-term and non-stationary ECG signals. View Full-Text
Keywords: electrocardiogram verification; biometric; access control system; non-stationary; wavelet; ECG complex; MIT-BIH database electrocardiogram verification; biometric; access control system; non-stationary; wavelet; ECG complex; MIT-BIH database
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Tseng, K.-K.; Huang, H.-N.; Zeng, F.; Tu, S.-Y. ECG Sensor Card with Evolving RBP Algorithms for Human Verification. Sensors 2015, 15, 20730-20751.

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