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| dc.contributor | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
|---|---|
| dc.contributor | Institut de Bioenginyeria de Catalunya |
| dc.contributor | Universitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation |
| dc.contributor.author | Garde, Ainara |
| dc.contributor.author | Giraldo Giraldo, Beatriz |
| dc.contributor.author | Jané Campos, Raimon |
| dc.contributor.author | Latshang, T.D. |
| dc.contributor.author | Turk, A.J. |
| dc.contributor.author | Hess, T. |
| dc.contributor.author | Bosch, M.M. |
| dc.contributor.author | Barthelmes, D. |
| dc.contributor.author | Merz, T. M. |
| dc.contributor.author | Pichler Hefti, J. |
| dc.contributor.author | Schoch, O.D. |
| dc.contributor.author | Bloch, Konrad E. |
| dc.date | 2015-03 |
| dc.identifier.citation | Garde, A., Giraldo, B., Jane, R., Latshang, T., Turk, A., Hess, T., Bosch, M., Barthelmes, D., Merz, T., Pichler Hefti, J., Schoch, O., Bloch, K. Time-varying signal analysis to detect high-altitude periodic breathing in climbers ascending to extreme altitude. "Medical and biological engineering and computing", Març 2015, vol. 53, núm. 8, p. 699-712. |
| dc.identifier.citation | 0140-0118 |
| dc.identifier.citation | 10.1007/s11517-015-1275-x |
| dc.identifier.uri | http://hdl.handle.net/2117/77248 |
| dc.description.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 (MPLF HR) oscillations and cardiorespiratory coherence (MPLFCoher), 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. |
| dc.description.abstract | Peer Reviewed |
| dc.language.iso | eng |
| dc.rights | info:eu-repo/semantics/openAccess |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica::Electrònica en cardiologia |
| dc.subject | Electronics in cardiology |
| dc.subject | High-altitude periodic breathing · Cardiorespiratory characterization · Time-varying spectral analysis · Acclimatization · Hypoxia |
| dc.subject | Electrònica en cardiologia |
| dc.title | Time-varying signal analysis to detect high-altitude periodic breathing in climbers ascending to extreme altitude |
| dc.type | info:eu-repo/semantics/submittedVersion |
| dc.type | info:eu-repo/semantics/article |
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