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Assessment of respiratory flow cycle morphology in patients with chronic heart failure

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Abstract

Breathing pattern as periodic breathing (PB) in chronic heart failure (CHF) is associated with poor prognosis and high mortality risk. This work investigates the significance of a number of time domain parameters for characterizing respiratory flow cycle morphology in patients with CHF. Thus, our primary goal is to detect PB pattern and identify patients at higher risk. In addition, differences in respiratory flow cycle morphology between CHF patients (with and without PB) and healthy subjects are studied. Differences between these parameters are assessed by investigating the following three classification issues: CHF patients with PB versus with non-periodic breathing (nPB), CHF patients (both PB and nPB) versus healthy subjects, and nPB patients versus healthy subjects. Twenty-six CHF patients (8/18 with PB/nPB) and 35 healthy subjects are studied. The results show that the maximal expiratory flow interval is shorter and with lower dispersion in CHF patients than in healthy subjects. The flow slopes are much steeper in CHF patients, especially for PB. Both inspiration and expiration durations are reduced in CHF patients, mostly for PB. Using the classification and regression tree technique, the most discriminant parameters are selected. For signals shorter than 1 min, the time domain parameters produce better results than the spectral parameters, with accuracies for each classification of 82/78, 89/85, and 91/89 %, respectively. It is concluded that morphologic analysis in the time domain is useful, especially when short signals are analyzed.

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Acknowledgments

This work was supported in part by the Secretaria d’Universitats i Recerca, del Departament d’Economía i Coneixement de la Generalitat de Catalunya (Consolidated research group GRC 2014 SGR 1569).

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Authors and Affiliations

  1. Institute for Bioengineering of Catalonia (IBEC), c./Baldiri Reixac, 4, 08028, Barcelona, Spain

    Ainara Garde, Raimon Jané & Beatriz F. Giraldo

  2. Department of Biomedical Engineering and Center of Integrative Electrocardiology, Lund University, Lund, Sweden

    Leif Sörnmo

  3. Biomedical Signal Interpretation and Computational Simulation Group (BSICoS), Aragón Institute of Engineering Research (I3A), Instituto de Investigación Sanitaria (IIS), University of Zaragoza, Zaragoza, Spain

    Pablo Laguna

  4. Instituto Carlos III, CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029, Madrid, Spain

    Pablo Laguna, Raimon Jané & Beatriz F. Giraldo

  5. Department of Automatic Control (ESAII), Barcelona College of Industrial Engineering (EUETIB), Universitat Politècnica de Catalunya, Barcelona, Spain

    Raimon Jané & Beatriz F. Giraldo

  6. Department of Emergency Medicine, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain

    Salvador Benito

  7. Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain

    Salvador Benito & Antoni Bayés-Genís

  8. Cardiology Department, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain

    Antoni Bayés-Genís

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  1. Ainara Garde
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  2. Leif Sörnmo
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  3. Pablo Laguna
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  5. Salvador Benito
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  6. Antoni Bayés-Genís
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  7. Beatriz F. Giraldo
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Correspondence to Beatriz F. Giraldo.

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Garde, A., Sörnmo, L., Laguna, P. et al. Assessment of respiratory flow cycle morphology in patients with chronic heart failure. Med Biol Eng Comput 55, 245–255 (2017). https://doi.org/10.1007/s11517-016-1498-5

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  • DOI: https://doi.org/10.1007/s11517-016-1498-5

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