One year monitoring of nocturnal periodic breathing at the antarctic pole

Fernández, Hermógenes; Pattyn, Nathalie; Maîresse, Olivier; Meeusen, Romain; Mcdonald-Nethercott, Eoin; Neyt, Xavier

doi:10.1016/j.sleep.2013.11.265

Cited by 1 publication

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“…Periodic breathing pattern, frequently observed in patients with chronic heart failure, has been associated with increased risk of mortality. This pattern had been analyzed, mostly in relation with the sleep disorders [24], [35]; in healthy subjects, analyzing the relationship between the blood pressure and heart rate oscillations, through the tidal volume [21], and in the acclimatization to high altitude in healthy mountaineers [25], [6]. Despite advances in treatments of cardiovascular disease, the incidence and prevalence of heart failure continues to increase, which can be directly related to an increase in life span.…”

Section: Discussionmentioning

confidence: 99%

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

Garde

Sörnmo

Laguna

et al. 2016

Med Biol Eng Comput

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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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