Applying fractal analysis to short sets of heart rate variability data.
The aim of this study was to explore the interchangeability of fractal scaling exponents derived from short- and long-term recordings of real and synthetic data. We compared the alpha(1) exponents as obtained by detrended fluctuation analysis from RR-interval series (9 am to 6 pm) of 54 adults in no...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 47; no. 7; pp. 709 - 718 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jul2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104906628&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104906628 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jul2009 vid: 47 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104906628 NLM19184157 2010304516 10.1007/s11517-009-0436-1 NLM19184157 104906628 ppf: 709 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Applying fractal analysis to short sets of heart rate variability data. aug: au: Peña MA Echeverría JC García MT González-Camarena R Peña, M A Echeverría, J C García, M T González-Camarena, R affil: Electrical Engineering Department, Universidad Autónoma Metropolitana-Izt., San Rafael Atlixco #186, 09340, Mexico City, Mexico sug: subj: Heart Rate Variability Signal Processing, Computer Assisted Methods Comparative Studies Confidence Intervals Human ab: The aim of this study was to explore the interchangeability of fractal scaling exponents derived from short- and long-term recordings of real and synthetic data. We compared the alpha(1) exponents as obtained by detrended fluctuation analysis from RR-interval series (9 am to 6 pm) of 54 adults in normal sinus rhythm, and the alpha(1) estimated from shorted segments of these series involving only 50, 100, 200 and 300 RR intervals. Three series of synthetic data were also analysed. The principal finding of this study is the lack of individual agreement between alpha(1) derived from long and short segments of HRV data as indicated by the existence of bias and low intraclass correlation coefficient (r(i) = 0.158). The extent of variation in the estimation of alpha(1) from real data does not only appear related to segments' length, but also to different dynamics among subjects or lack of uniform scaling behaviour. However, we did find statistical agreement between the means of alpha(1) exponents from long and short segments, even for segments involving just 50 RR intervals. According to results of synthetic series, the 95% confidence interval found for the variation of alpha(1) using segments with 300 samples is [-0.1783 + 0.1828]. Caution should be taken concerning the use of short segments to obtain representative exponents of fractal RR dynamics; a circumstance not fully considered in several studies. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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