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dc.contributor.authorTwiss, Sean D.
dc.contributor.authorBrannan, Naomi
dc.contributor.authorShuert, Courtney R.
dc.contributor.authorBishop, Amanda M.
dc.contributor.authorPomeroy, Patrick. P.
dc.contributor.authorMoss, Simon
dc.date.accessioned2021-06-07T16:30:05Z
dc.date.available2021-06-07T16:30:05Z
dc.date.issued2021-06-04
dc.identifier274529398
dc.identifier5f32c9dc-750e-440a-8983-ca2332fc28a1
dc.identifier000664640100029
dc.identifier85107364223
dc.identifier.citationTwiss , S D , Brannan , N , Shuert , C R , Bishop , A M , Pomeroy , P P & Moss , S 2021 , ' An external telemetry system for recording resting heart rate variability and heart rate in free-ranging large wild mammals ' , PLoS ONE , vol. 16 , no. 6 , e0252013 . https://doi.org/10.1371/journal.pone.0252013en
dc.identifier.issn1932-6203
dc.identifier.otherJisc: 0302f31369214d9a84e0db3ef3bb93f0
dc.identifier.otherpublisher-id: pone-d-20-22875
dc.identifier.otherORCID: /0000-0003-1603-5630/work/95418281
dc.identifier.urihttps://hdl.handle.net/10023/23327
dc.descriptionFunding: UK NERC supported the long-term research at the Isle of May through core funding to SMRU. PP was in receipt of NERC grant no. NE/G008930/1 and Esmée Fairbairn Foundation funding during the work. AMB and CRS were supported by the Durham Doctoral Studentship scheme.en
dc.description.abstractMeasures of heart rate variability (and heart rate more generally) are providing powerful insights into the physiological drivers of behaviour. Resting heart rate variability (HRV) can be used as an indicator of individual differences in temperament and reactivity to physical and psychological stress. There is increasing interest in deriving such measures from free ranging wild animals, where individuals are exposed to the natural and anthropogenic stressors of life. We describe a robust, externally mounted heart rate monitor for use in wild mammals, deployed here on wild breeding adult female grey seals (Halichoerus grypus), that delivers millisecond precise measures of inter beat intervals (IBIs), allowing computation of resting HRV parameters. Based on Firstbeat™ heart rate belts, our system allows for remote, continuous recording of IBI data from over 30 individuals simultaneously at ranges of up to 200m. We assessed the accuracy of the IBI data provided by the Firstbeat™ system using concurrent IBI data derived from in-field electrocardiogram (ECG) recordings. Bland-Altmann analyses demonstrated high correspondence between the two sets of IBI data, with a mean difference of 0.87±0.16ms. We used generalized additive mixed-effects models to examine the impact of the default Firstbeat™ software artefact correction procedure upon the generation of anomalous data (flats and stairs). Artefact correction and individual activity were major causes of flats and stairs. We used simulations and models to assess the impact of these errors on estimates of resting HRV and to inform criteria for subsampling relatively error free IBI traces. These analyses allowed us to establish stringent filtering procedures to remove traces with excessive numbers of artefacts, including flats and stairs. Even with strict criteria for removing potentially erroneous data, the abundance of data yielded by the Firstbeat™ system provides the potential to extract robust estimates of resting HRV. We discuss the advantages and limitations of our system for applications beyond the study system described here.
dc.format.extent22
dc.format.extent3002102
dc.language.isoeng
dc.relation.ispartofPLoS ONEen
dc.subjectMedicine and health sciencesen
dc.subjectComputer and information sciencesen
dc.subjectEngineering and technologyen
dc.subjectBiology and life sciencesen
dc.subjectEarth sciencesen
dc.subjectResearch and analysis methodsen
dc.subjectSocial sciencesen
dc.subjectQH Natural historyen
dc.subjectQL Zoologyen
dc.subjectDASen
dc.subject.lccQHen
dc.subject.lccQLen
dc.titleAn external telemetry system for recording resting heart rate variability and heart rate in free-ranging large wild mammalsen
dc.typeJournal articleen
dc.contributor.sponsorNERCen
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.identifier.doi10.1371/journal.pone.0252013
dc.description.statusPeer revieweden
dc.identifier.grantnumberNE/G008930/1en


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