2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010
DOI: 10.1109/iembs.2010.5626547
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Approximate entropy as a measure of the airflow pattern complexity in asthma

Abstract: The scientific and clinical value of a measure of complexity is potentially enormous because complexity appears to be lost in the presence of illness. The changes introduced by asthma in respiratory mechanics and control of breathing may result in modifications in the airflow pattern. These changes may be interesting clinically, since they can reduce the ability of the patient to perform daily life activities. In this paper, we examine the effect of elevated airway obstruction on the complexity of the airflow … Show more

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Cited by 15 publications
(17 citation statements)
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“…For example, loss of variability in the respiratory pattern occurs in restrictive lung disease (Kuratomi et al 1985; Brack et al 2002), obstructive lung disease (Veiga et al 2010), and respiratory failure (Bien et al 2004; Giraldo et al 2004; Casaseca-de-la-Higuera et al 2006; Wysocki et al 2006), as well as in septic and acutely ill patients (Askanazi et al 1979). In contrast, increases in breathing pattern variability have been observed in patients with panic disorder (Yeragani et al 2002) and sleep disordered breathing (Miyata et al 2002; Miyata et al 2004), particularly at the wake-sleep transition (Ibrahim et al 2008).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, loss of variability in the respiratory pattern occurs in restrictive lung disease (Kuratomi et al 1985; Brack et al 2002), obstructive lung disease (Veiga et al 2010), and respiratory failure (Bien et al 2004; Giraldo et al 2004; Casaseca-de-la-Higuera et al 2006; Wysocki et al 2006), as well as in septic and acutely ill patients (Askanazi et al 1979). In contrast, increases in breathing pattern variability have been observed in patients with panic disorder (Yeragani et al 2002) and sleep disordered breathing (Miyata et al 2002; Miyata et al 2004), particularly at the wake-sleep transition (Ibrahim et al 2008).…”
Section: Discussionmentioning
confidence: 99%
“…Breathing patterns are altered by the onset and progression of respiratory diseases (Kuratomi et al 1985; Brack et al 2002; Miyata et al 2002; Yeragani et al 2002; Bien et al 2004; Giraldo et al 2004; Miyata et al 2004; Casaseca-de-la-Higuera et al 2006; Wysocki et al 2006; Ibrahim et al 2008; Veiga et al 2010). The mechanisms responsible for changes in the breathing pattern in ALI and ARDS are attributed to the fundamental pathophysiology of diffuse pulmonary infiltrates, altered ventilation-perfusion matching, progressive hypoxemia, reduced lung compliance and increased work of breathing (Gattinoni et al 1994; Pelosi et al 1995).…”
Section: Introductionmentioning
confidence: 99%
“…The measurement is simple and requires only passive cooperation and no forced expiratory maneuvers. However, to the best of the authors' knowledge, there are no data in the literature discussing the changes in ApEnQ with airway obstruction in asthma, with the exception of a conference report describing the early stages of the authors' work (57).…”
mentioning
confidence: 98%
“…We have already seen that fractal-type fluctuations of lung function over time may help to assess disease status and risk (58,60,62,65,72,77,78) and to monitor therapy success (58,60,79). Furthermore, in asthma, fluctuations in inflammatory markers such as fractional exhaled nitric oxide are related to symptoms (62,80), and the degree of concordance between the temporal changes in the biomarker and the temporal changes in daily symptoms may even serve as a measure of disease stability (62).…”
Section: Temporal Phenotyping: Extending Variability Analyses For Botmentioning
confidence: 99%