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Time-varying signal analysis to detect high-altitude periodic breathing in climbers ascending to extreme altitude

Garde, A; Giraldo, B F; Jané, R; Latshang, T D; Turk, A J; Hess, T; Bosch, M M; Barthelmes, D; Merz, T M; Pichler Hefti, J; Schoch, O D; Bloch, K E (2015). Time-varying signal analysis to detect high-altitude periodic breathing in climbers ascending to extreme altitude. Medical & Biological Engineering & Computing, 53(8):699-712.

Abstract

This work investigates the performance of cardiorespiratory analysis detecting periodic breathing (PB) in chest wall recordings in mountaineers climbing to extreme altitude. The breathing patterns of 34 mountaineers were monitored unobtrusively by inductance plethysmography, ECG and pulse oximetry using a portable recorder during climbs at altitudes between 4497 and 7546 m on Mt. Muztagh Ata. The minute ventilation (VE) and heart rate (HR) signals were studied, to identify visually scored PB, applying time-varying spectral, coherence and entropy analysis. In 411 climbing periods, 30–120 min in duration, high values of mean power (MPVE) and slope (MSlopeVE) of the modulation frequency band of VE, accurately identified PB, with an area under the ROC curve of 88 and 89 %, respectively. Prolonged stay at altitude was associated with an increase in PB. During PB episodes, higher peak power of ventilatory (MPVE) and cardiac (MP LF HR ) oscillations and cardiorespiratory coherence (MP LF Coher ), but reduced ventilation entropy (SampEnVE), was observed. Therefore, the characterization of cardiorespiratory dynamics by the analysis of VE and HR signals accurately identifies PB and effects of altitude acclimatization, providing promising tools for investigating physiologic effects of environmental exposures and diseases.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Ophthalmology Clinic
04 Faculty of Medicine > University Hospital Zurich > Clinic for Pneumology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Physical Sciences > Biomedical Engineering
Physical Sciences > Computer Science Applications
Language:English
Date:August 2015
Deposited On:22 Jan 2016 08:23
Last Modified:14 Oct 2024 01:39
Publisher:Springer
ISSN:0140-0118
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/s11517-015-1275-x
PubMed ID:25820153
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