A new and fast index for the quantification of short range self-similarity in RR time series
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/10735
Tipus de documentComunicació de congrés
Data publicació2010
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
We propose a new and very fast index (the frequency
of sign changes of the mirrored differences or fscmd) with
good correlation with the short range scaling exponent
(
R) estimated among scales 4 to 16 of the DFA. fscmd
computes the relative number of sign changes of the
difference of the RR time series minus their
corresponding reversed RR time series after a moving
average detrending procedure is applied using a window
of 30 samples. Linear regression results with simulated
time series with Fractional Brownian Noise and with
actual time series using the Fantasia (FT), Normal Sinus
Rhythm RR time series (NSR) and Congestive Heart
Failure RR interval (CHF) databases after artifact
correction show good agreement between fscmd and
R.
Finally, Mann-Whitney Rank Sum tests applied to
R and
fscmd when comparing NSR and CHF databases show
very significant differences (p<0.001) between groups for
both indices.
CitacióGarcia, M.; Fernandez, M.; Ramos, J. A new and fast index for the quantification of short range self-similarity in RR time series. A: Computers in Cardiology. "Computing in Cardiology 2010". Belfast: 2010, p. 581-584.
ISBN0276-6574
Versió de l'editorhttp://www.cinc.org/archives/2010/pdf/0581.pdf
Fitxers | Descripció | Mida | Format | Visualitza |
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0581.pdf | Publicació en actes del congrés (online, no hi ha llibre en paper) | 183,1Kb | Visualitza/Obre |