61851 20200221144311.0 doi 10.1007/s11517-016-1498-5 sideral 94967 ART-2016-94967 eng Garde, Ainara Assessment of respiratory flow cycle morphology in patients with chronic heart failure 2016 Access copy available to the general public Unrestricted 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. info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.916 2016 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 52 / 105 = 0.495 2016 Q2 T2 MATHEMATICAL & COMPUTATIONAL BIOLOGY 15 / 57 = 0.263 2016 Q2 T1 MEDICAL INFORMATICS 12 / 23 = 0.522 2016 Q3 T2 ENGINEERING, BIOMEDICAL 40 / 77 = 0.519 2016 Q3 T2 0.712 2016 Computer Science Applications 2016 Q2 Biomedical Engineering 2016 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Sörnmo, Leif (orcid)0000-0003-3434-9254 Laguna, Pablo Universidad de Zaragoza Jané, Raimon Benito, Salvador Bayés-Genís, Antoni Giraldo, Beatriz F. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 55, 2 (2016), 245-255 Med. biol. eng. comput. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 0140-0118 261137 http://zaguan.unizar.es/record/61851/files/texto_completo.pdf Postprint 49521 http://zaguan.unizar.es/record/61851/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:61851 articulos driver 2020-02-21-13:37:06 ARTICLE