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Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort.

Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort. Research Abstract Details 

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  • Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort. Abstract Text:

    joan francesc alonsoJoan Francesc Alonso,miguel a Miguel A ,dirk hoyerDirk Hoyer,zbigniew l toporZbigniew L Topor,eugene n bruceEugene N Bruce,

    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 sufficient. Therefore, the objective of this study was the detection of diagnostically relevant nonlinear complex respiratory mechanisms. Two aims of this work were: (1) to assess coordination of respiratory muscles contractions through evaluation of interactions between respiratory signals and myographic signals through nonlinear analysis by means of cross mutual information function (CMIF); (2) to differentiate between functioning of respiratory muscles in patients with OSAS and in normal subjects. Electromyographic (EMG) and mechanomyographic (MMG) signals were recorded from three respiratory muscles: genioglossus, sternomastoid and diaphragm. Inspiratory pressure and flow were also acquired. All signals were measured in eight patients with OSAS and eight healthy subjects during an increased respiratory effort while awake. Several variables were defined and calculated from CMIF in order to describe correlation between signals. The results indicate different nonlinear couplings of respiratory muscles in both populations. This effect is progressively more evident at higher levels of respiratory effort.

    Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort. Publishing Authors By Initials

    jf alonsoJF Alonso,ma MA ,d hoyerD Hoyer,zl toporZL Topor,en bruceEN Bruce,

    For similar respiratory tract diseases: respiration disorders: apnea: sleep apnea syndromes: sleep apnea, obstructive research abstracts see: respiratory tract diseases: respiration disorders: apnea: sleep apnea syndromes: sleep apnea, obstructive research

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    Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: IEEE transactions on bio-medical engineering

    VOLUME: 54

    Page Numbers: 1573-82

    Journal Abbreviation:

    ISSN: 0018-9294

    DAY: 3

    MONTH: Sep

    YEAR: 2007

    Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 12737

    Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort. Keywords Mesh Terms:

    KEYWORDS: Sleep Apnea, Obstructive

    MESH TERMS: physiopathology

    Chemical & Substance for Abstract: Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort. Information

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    Grant and Affiliation Information for Evaluation of respiratory muscles activity by means of cross mutual information function at different levels of ventilatory effort.

    AFFILIATION: Department of Automatic Control, Biomedical Engineering Research Center, Technical University of Catalonia (UPC), 5th Pau Gargalo St., E-08028 Barcelona, Spain. joan.francesc.alonso@upc.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NHLBI

    GRANT: HL40369

    ACRONYM: HL

    MEDLINETA: IEEE Trans Biomed Eng

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