Assessment of respiratory flow cycle morphology in patients with chronic heart failure.
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.
Institute for Bioengineering of Catalonia (IBEC), c./Baldiri Reixac, 4, 08028, Barcelona, Spain.
Ainara
A
Garde
Department of Biomedical Engineering and Center of Integrative Electrocardiology, Lund University, Lund, Sweden.
Leif
L
Sörnmo
Biomedical Signal Interpretation and Computational Simulation Group (BSICoS), Aragón Institute of Engineering Research (I3A), Instituto de Investigación Sanitaria (IIS), University of Zaragoza, Zaragoza, Spain.|Instituto Carlos III, CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029, Madrid, Spain.
Pablo
P
Laguna
Institute for Bioengineering of Catalonia (IBEC), c./Baldiri Reixac, 4, 08028, Barcelona, Spain.|Instituto Carlos III, CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029, Madrid, Spain.|Department of Automatic Control (ESAII), Barcelona College of Industrial Engineering (EUETIB), Universitat Politècnica de Catalunya, Barcelona, Spain.
Raimon
R
Jané
Department of Emergency Medicine, Hospital de la Santa Creu I Sant Pau, Barcelona, Spain.|Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
Salvador
S
Benito
Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.|Cardiology Department, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain.
Antoni
A
Bayés-Genís
Institute for Bioengineering of Catalonia (IBEC), c./Baldiri Reixac, 4, 08028, Barcelona, Spain. Beatriz.Giraldo@upc.edu.|Instituto Carlos III, CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029, Madrid, Spain. Beatriz.Giraldo@upc.edu.|Department of Automatic Control (ESAII), Barcelona College of Industrial Engineering (EUETIB), Universitat Politècnica de Catalunya, Barcelona, Spain. Beatriz.Giraldo@upc.edu.
Beatriz F
BF
Giraldo
D000328:Adult; D000368:Aged; D002908:Chronic Disease; D005260:Female; D064368:Healthy Volunteers; D006333:Heart Failure / Q000503:physiopathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D056152:Respiratory Rate / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted
Chronic heart failure; Ensemble average; Periodic and non-periodic breathing; Respiratory pattern