Identification of multichannel cardiovascular dynamics using dual laguerre basis functions for noninvasive cardiovascular monitoring / Jin-Oh Hahn in IEEE Transactions on control systems technology, Vol. 18 N° 1 (Janvier 2010)  

Public ISBD [article]  inIEEE Transactions on control systems technology > Vol. 18 N° 1 (Janvier 2010) . - pp. 170-176 Titre : Identification of multichannel cardiovascular dynamics using dual laguerre basis functions for noninvasive cardiovascular monitoring Type de document : texte imprimé Auteurs : Jin-Oh Hahn, Auteur ; Devin B. McCombie, Auteur ; Andrew T. Reisner, Auteur Année de publication : 2011 Article en page(s) : pp. 170-176 Note générale : Génie Aérospatial Langues : Anglais (eng) Mots-clés : Cardiovascular (CV) system Laguerre basis function Nonivasive CV monitoring Two-channel blind identification (ID) Index. décimale : 629.1 Résumé : This paper presents a novel method to identify the cardiovascular (CV) system using two distinct peripheral blood pressure (BP) signals. The method can characterize the distinct arterial path dynamics that shape each of the BP signals and recover the common central-flow signal fed to them. A Laguerre series data-compression technique is used to obtain a compact representation of the CV system, whose coefficients are identified using the multichannel blind system identification. A Laguerre model deconvolution algorithm is developed to stably recover the central-flow signal. Persistent excitation, model identifiability, and asymptotic variance are analyzed to quantify the method's validity and reliability, without using any direct measurement of central-flow input signal. Experimental results based on 7000 data segments obtained from nine swine subjects show that, for all the swine subjects under diverse physiologic conditions, the CV dynamics can be identified very reliably and the waveform of the central flow can be recovered stably from peripheral BP signals. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4815388 [article] Identification of multichannel cardiovascular dynamics using dual laguerre basis functions for noninvasive cardiovascular monitoring [texte imprimé] / Jin-Oh Hahn, Auteur ; Devin B. McCombie, Auteur ; Andrew T. Reisner, Auteur . - 2011 . - pp. 170-176. Génie Aérospatial Langues : Anglais (eng) in IEEE Transactions on control systems technology > Vol. 18 N° 1 (Janvier 2010) . - pp. 170-176 Mots-clés : Cardiovascular (CV) system Laguerre basis function Nonivasive CV monitoring Two-channel blind identification (ID) Index. décimale : 629.1 Résumé : This paper presents a novel method to identify the cardiovascular (CV) system using two distinct peripheral blood pressure (BP) signals. The method can characterize the distinct arterial path dynamics that shape each of the BP signals and recover the common central-flow signal fed to them. A Laguerre series data-compression technique is used to obtain a compact representation of the CV system, whose coefficients are identified using the multichannel blind system identification. A Laguerre model deconvolution algorithm is developed to stably recover the central-flow signal. Persistent excitation, model identifiability, and asymptotic variance are analyzed to quantify the method's validity and reliability, without using any direct measurement of central-flow input signal. Experimental results based on 7000 data segments obtained from nine swine subjects show that, for all the swine subjects under diverse physiologic conditions, the CV dynamics can be identified very reliably and the waveform of the central flow can be recovered stably from peripheral BP signals. DEWEY : 629.1 ISSN : 1063-6536 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4815388

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