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

Garde, Ainara; Sörnmo, Leif LU ; Laguna, Pablo; Jané, Raimon; Benito, Salvador; Bayés-Genís, Antoni and Giraldo, Beatriz F. (2016) In Medical & Biological Engineering & Computing p.1-11
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... (More)

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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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Chronic heart failure, Ensemble average, Periodic and non-periodic breathing, Respiratory pattern
in
Medical & Biological Engineering & Computing
pages
11 pages
publisher
Springer
external identifiers
  • Scopus:84964262607
ISSN
0140-0118
DOI
10.1007/s11517-016-1498-5
language
English
LU publication?
yes
id
42524086-270b-4b4d-9777-4a315cd9e1d6
date added to LUP
2016-05-10 14:42:48
date last changed
2016-10-11 14:15:33
@misc{42524086-270b-4b4d-9777-4a315cd9e1d6,
  abstract     = {<p>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.</p>},
  author       = {Garde, Ainara and Sörnmo, Leif and Laguna, Pablo and Jané, Raimon and Benito, Salvador and Bayés-Genís, Antoni and Giraldo, Beatriz F.},
  issn         = {0140-0118},
  keyword      = {Chronic heart failure,Ensemble average,Periodic and non-periodic breathing,Respiratory pattern},
  language     = {eng},
  month        = {04},
  pages        = {1--11},
  publisher    = {ARRAY(0x9dc2548)},
  series       = {Medical & Biological Engineering & Computing},
  title        = {Assessment of respiratory flow cycle morphology in patients with chronic heart failure},
  url          = {http://dx.doi.org/10.1007/s11517-016-1498-5},
  year         = {2016},
}