2007
DOI: 10.1109/tbme.2007.893494
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Evaluation of Respiratory Muscles Activity by Means of Cross Mutual Information Function at Different Levels of Ventilatory Effort

Abstract: Abstract-Analysis of respiratory muscles activity is an effective technique for the study of pulmonary diseases such as obstructive sleep apnea syndrome (OSAS). Respiratory diseases, especially those associated with changes in the mechanical properties of the respiratory apparatus, are often associated with disruptions of the normally highly coordinated contractions of respiratory muscles. Due to the complexity of the respiratory control, the assessment of OSAS related dysfunctions by linear methods are not su… Show more

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Cited by 42 publications
(64 citation statements)
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“…), the estimation of the MI is more robust against outliers and artefacts in data (Alonso et al 2007.…”
Section: Auto Mutual Information Function Rate Of Decrease (Amifrd)mentioning
confidence: 94%
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“…), the estimation of the MI is more robust against outliers and artefacts in data (Alonso et al 2007.…”
Section: Auto Mutual Information Function Rate Of Decrease (Amifrd)mentioning
confidence: 94%
“…be a sequence acquired from a stochastic process (Alonso et al 2007). If the amplitude values of the variable ( ) t X are partitioned into I bins, a probability…”
Section: Auto Mutual Information Function Rate Of Decrease (Amifrd)mentioning
confidence: 99%
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“…The AMI is based on the amplitude distributions of x(t) on different time scales [10]. These distributions are estimated from histograms [4], [25]. For a fixed sequence length, if larger sampling bins are used to construct the histograms, the estimations of the average probabilities are more accurate.…”
Section: Auto Mutual Information (Ami)mentioning
confidence: 99%