000070918 001__ 70918
000070918 005__ 20191126134634.0
000070918 0247_ $$2doi$$a10.3390/s18051525
000070918 0248_ $$2sideral$$a106457
000070918 037__ $$aART-2018-106457
000070918 041__ $$aeng
000070918 100__ $$0(orcid)0000-0001-8518-6884$$aSancho, J.$$uUniversidad de Zaragoza
000070918 245__ $$aBiometric authentication using the PPG: A long-term feasibility study
000070918 260__ $$c2018
000070918 5060_ $$aAccess copy available to the general public$$fUnrestricted
000070918 5203_ $$aThe photoplethysmogram (PPG) is a biomedical signal that can be used to estimate volumetric blood flow changes in the peripheral circulation. During the past few years, several works have been published in order to assess the potential for PPGs to be used in biometric authentication systems, but results are inconclusive. In this paper we perform an analysis of the feasibility of using the PPG as a realistic biometric alternative in the long term. Several feature extractors (based on the time domain and the Karhunen–Loève transform) and matching metrics (Manhattan and Euclidean distances) have been tested using four different PPG databases (PRRB, MIMIC-II, Berry, and Nonin). We show that the false match rate (FMR) and false non-match rate (FNMR) values remain constant in different time instances for a selected threshold, which is essential for using the PPG for biometric authentication purposes. On the other hand, obtained equal error rate (EER) values for signals recorded during the same session range from 1.0% for high-quality signals recorded in controlled conditions to 8% for those recorded in conditions closer to real-world scenarios. Moreover, in certain scenarios, EER values rise up to 23.2% for signals recorded over different days, signaling that performance degradation could take place with time.
000070918 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-76770-R$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón
000070918 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000070918 590__ $$a3.031$$b2018
000070918 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b15 / 61 = 0.246$$c2018$$dQ1$$eT1
000070918 591__ $$aCHEMISTRY, ANALYTICAL$$b23 / 84 = 0.274$$c2018$$dQ2$$eT1
000070918 591__ $$aELECTROCHEMISTRY$$b12 / 26 = 0.462$$c2018$$dQ2$$eT2
000070918 592__ $$a0.592$$b2018
000070918 593__ $$aAnalytical Chemistry$$c2018$$dQ2
000070918 593__ $$aAtomic and Molecular Physics, and Optics$$c2018$$dQ2
000070918 593__ $$aMedicine (miscellaneous)$$c2018$$dQ2
000070918 593__ $$aElectrical and Electronic Engineering$$c2018$$dQ2
000070918 593__ $$aInstrumentation$$c2018$$dQ2
000070918 593__ $$aBiochemistry$$c2018$$dQ2
000070918 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000070918 700__ $$0(orcid)0000-0002-5254-1402$$aAlesanco, Á.$$uUniversidad de Zaragoza
000070918 700__ $$0(orcid)0000-0001-9485-7678$$aGarcía, J.$$uUniversidad de Zaragoza
000070918 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática
000070918 773__ $$g18, 5 (2018), s18051525[13pp]$$pSensors$$tSensors (Switzerland)$$x1424-8220
000070918 8564_ $$s292360$$uhttps://zaguan.unizar.es/record/70918/files/texto_completo.pdf$$yVersión publicada
000070918 8564_ $$s106436$$uhttps://zaguan.unizar.es/record/70918/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000070918 909CO $$ooai:zaguan.unizar.es:70918$$particulos$$pdriver
000070918 951__ $$a2019-11-26-13:42:57
000070918 980__ $$aARTICLE