An evaluation of the generalisability and applicability of the PhysioNet electrocardiogram (ECG) repository as test cases for ECG-based biometrics
Author(s) -
Manal Tantawi,
Kenneth Revett,
Mohamed F. Tolba,
Abdel Badeeh Salem
Publication year - 2012
Publication title -
international journal of cognitive biometrics
Language(s) - English
Resource type - Journals
eISSN - 2042-647X
pISSN - 2042-6461
DOI - 10.1504/ijcb.2012.046515
Subject(s) - biometrics , computer science , context (archaeology) , software deployment , the internet , variety (cybernetics) , authentication (law) , test (biology) , world wide web , data mining , data science , computer security , artificial intelligence , software engineering , paleontology , biology
The PhysioNet is a very popular internet-based ECG repository which provides open access to a variety of ECG datasets. The data is collected from subjects within a medical framework, with the intention of acquiring clinically relevant information from patients. Because of the convenience afforded by the internet, literally thousands of ECG records can be downloaded and used for non-medical purposes, such as biometrics. The purpose of this study was to evaluate the applicability and/or suitability of the PhysioNet ECG data for deployment within biometrics. The needs and mindset of a clinician may be quite different from that of a security engineer. This paper therefore attempts to provide a preliminary examination of the PhysioNet ECG data repository along these dimensions, emphasising the need to create methodologies in the context of biometrics that not only take these considerations into account, but integrates them into the biometric methodology.
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