2008
DOI: 10.1109/icpr.2008.4761757
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Abstract: Heart rate variability (HRV) provides an estimate of sympathetic and parasympathetic influences on the heart rate. Although HRV has been extensively studied, sustained clinical use is still outstanding.The noninvasive, convenient, and inexpensive arterial pulse originate from heartbeats, but has not been studied in a systematic fashion except in rudimentary ways. In this paper, we present Pulse Rate Variability (PRV) as an alternative to HRV. We give evidence for the detection of disorders in patients using PR… Show more

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Cited by 11 publications
(9 citation statements)
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“…3.10 ). Several other physiological characteristics that have been extracted for the purpose of biometric identifi cation include arterial pulse (Joshi et al 2008 ;Irvine et al 2008 ) , fi ngernails (Topping et al 1998 ) , odour (Ramus and Eichenbaum 2000 ) , bioelectric potential (Hirobayashi et al 2007 ) , knee x-rays (Shamir et al 2009 ) , frontal sinus (Falguera et al 2008 ;Tabor et al 2009 ) , and otoacoustic emissions (Swabey et al 2004 ) . These efforts explore and identify additional sources of soft biometrics to either improve the performance of traditional (hard) biometric modalities or to help provide identifi cation in the absence of primary biometric attributes.…”
Section: Soft Biometricsmentioning
confidence: 99%
“…3.10 ). Several other physiological characteristics that have been extracted for the purpose of biometric identifi cation include arterial pulse (Joshi et al 2008 ;Irvine et al 2008 ) , fi ngernails (Topping et al 1998 ) , odour (Ramus and Eichenbaum 2000 ) , bioelectric potential (Hirobayashi et al 2007 ) , knee x-rays (Shamir et al 2009 ) , frontal sinus (Falguera et al 2008 ;Tabor et al 2009 ) , and otoacoustic emissions (Swabey et al 2004 ) . These efforts explore and identify additional sources of soft biometrics to either improve the performance of traditional (hard) biometric modalities or to help provide identifi cation in the absence of primary biometric attributes.…”
Section: Soft Biometricsmentioning
confidence: 99%
“…3 from database and applied peak detection algorithm to find out the R peaks [9]. After Peak detection, we calculate differences in consecutive R peaks to obtain R-R tachogram.…”
Section: A Data Pre -Processingmentioning
confidence: 99%
“…Recently the arterial pulse signals have had a minor renaissance and quantified; results on the shape of the arterial pulse signals show variations with age in [8] (through the shift of multifractal spectrum), with gender in [2] (through variations in augmentation index), and variability analysis in [7] (through various time domain, frequency domain and nonlinear Poincaré-based parameters).…”
Section: Time Domain Parametersmentioning
confidence: 99%