Estimating respiratory pattern variability by symbolic dynamics.

Abstract:

OBJECTIVES:The traditional techniques of data analysis are often not sufficient to characterize the complex dynamics of respiration. In this study the respiratory pattern variability was analyzed using symbolic dynamics. METHODS:A group of 20 patients on weaning trials from mechanical ventilation were studied at two different pressure support ventilation levels. Breath duration (T(TOT)) time series and the relation T(I)/T(TOT), that contains the influence of inspiratory time (T(I)), were considered. Length-3 words and 3 different symbols were proposed. The incidence of the overlapping tau and the parameter alpha were analyzed. RESULTS:From the breath duration time series, the distribution of words with probability of occurrence higher than 6% was concentrated on one word for low respiratory variability, whereas high variability was characterized by 4 words, presenting a statistically significant difference (p

journal_name

Methods Inf Med

authors

Caminal P,Mateu J,Vallverdú M,Giraldo B,Benito S,Voss A

keywords:

subject

Has Abstract

pub_date

2004-01-01 00:00:00

pages

22-5

issue

1

eissn

0026-1270

issn

2511-705X

pii

04010022

journal_volume

43

pub_type

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