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

cris.virtualsource.author-orcid28c4cd0e-e650-430f-a6cd-f61ab642a95e
cris.virtualsource.author-orcidf1bdb8ae-740c-4d7a-9040-bed65ffc5f91
datacite.rightsopen.access
dc.contributor.authorGarde, A
dc.contributor.authorGiraldo, B F
dc.contributor.authorJané, R
dc.contributor.authorLatshang, T D
dc.contributor.authorTurk, A J
dc.contributor.authorHess, T
dc.contributor.authorBosch, M M
dc.contributor.authorBarthelmes, D
dc.contributor.authorMerz, Tobias
dc.contributor.authorPichler, Jacqueline
dc.contributor.authorSchoch, O D
dc.contributor.authorBloch, K E
dc.date.accessioned2024-10-23T19:24:54Z
dc.date.available2024-10-23T19:24:54Z
dc.date.issued2015-08
dc.description.abstractThis 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 (MP(VE)) and slope (MSlope(VE)) 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 (MP(VE)) and cardiac (MP(LF)(HR) ) oscillations and cardiorespiratory coherence (MP(LF)(Coher)), but reduced ventilation entropy (SampEn(VE)), 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.numberOfPages14
dc.description.sponsorshipUniversitätsklinik für Intensivmedizin
dc.description.sponsorshipUniversitätsklinik für Pneumologie
dc.identifier.doi10.7892/boris.74870
dc.identifier.pmid25820153
dc.identifier.publisherDOI10.1007/s11517-015-1275-x
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/137268
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofMedical & biological engineering & computing
dc.relation.issn0140-0118
dc.relation.organizationDCD5A442BB14E17DE0405C82790C4DE2
dc.relation.organizationDCD5A442BADDE17DE0405C82790C4DE2
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titleTime-varying signal analysis to detect high-altitude periodic breathing in climbers ascending to extreme altitude.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage712
oaire.citation.issue8
oaire.citation.startPage699
oaire.citation.volume53
oairecerif.author.affiliationUniversitätsklinik für Intensivmedizin
oairecerif.author.affiliationUniversitätsklinik für Pneumologie
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unibe.description.ispublishedpub
unibe.eprints.legacyId74870
unibe.journal.abbrevTitleMED BIOL ENG COMPUT
unibe.refereedtrue
unibe.subtype.articlejournal

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