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Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat
dc.creator | Bojić, Tijana | |
dc.creator | Šaponjić, Jasna | |
dc.creator | Radulovački, Miodrag | |
dc.creator | Carley, David W | |
dc.creator | Kalauzi, Aleksandar | |
dc.date.accessioned | 2020-12-18T12:25:16Z | |
dc.date.available | 2020-12-18T12:25:16Z | |
dc.date.issued | 2008 | |
dc.identifier.issn | 1569-9048 | |
dc.identifier.uri | https://vinar.vin.bg.ac.rs/handle/123456789/8871 | |
dc.description.abstract | We applied a novel approach to respiratory waveform analysis-Monotone Signal Segments Analysis (MSSA) on 6-h recordings of respiratory signals in rats. To validate MSSA as a respiratory signal analysis tool we tested it by detecting: breaths and breath-to-breath intervals; respiratory timing and volume modes; and changes in respiratory pattern caused by lesions of monoaminergic systems in rats. MSSA differentiated three respiratory timing (tachypneic, eupneic, bradypneic-apneic), and three volume (artifacts, normovolemic, hypervolemic-sighs) modes. Lesion-induced respiratory pattern modulation was visible as shifts in the distributions of monotone signal segment amplitudes, and of breath-to-breath intervals. Specifically, noradrenergic lesion induced an increase in mean volume (p ≤ 0.03), with no change of the mean breath-to-breath interval duration (p ≥ 0.06). MSSA of timing modes detected noradrenergic lesion-induced interdependent changes in the balance of eupneic (decrease; p ≤ 0.02), and tachypneic (an increase; p ≤ 0.02) breath intervals with respect to control. In terms of breath durations within each timing mode, there was a tendency toward prolongation of the eupneic (p ≤ 0.08) and bradypneic-apneic (p ≤ 0.06) intervals. These results demonstrate that MSSA is sensitive to subtle shifts in respiratory rhythmogenesis not detectable by simple respiratory pattern descriptive statistics. MSSA represents a potentially valuable new tool for investigations of respiratory pattern control. © 2008 Elsevier B.V. All rights reserved. | en |
dc.language.iso | en | |
dc.relation | info:eu-repo/grantAgreement/MESTD/MPN2006-2010/143005/RS// | |
dc.relation | info:eu-repo/grantAgreement/MESTD/MPN2006-2010/145062/RS// | |
dc.relation | info:eu-repo/grantAgreement/MESTD/MPN2006-2010/143027/RS// | |
dc.relation | National Institute of Health [AG016303] | |
dc.rights | restrictedAccess | |
dc.source | Respiratory Physiology and Neurobiology | |
dc.subject | Monotone Signal Segments Analysis | en |
dc.subject | breath detection | en |
dc.subject | breath-to-breath interval | en |
dc.subject | rat | en |
dc.subject | respiratory pattern modulation | en |
dc.subject | monoaminergic lesion | en |
dc.title | Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat | en |
dc.type | article | en |
dc.rights.license | ARR | |
dcterms.abstract | Калаузи, Aлександар; Бојић, Тијана; Шапоњић, Јасна; Царлеy, Давид W; Радуловачки, Миодраг; | |
dc.rights.holder | © 2020 Elsevier B.V. | |
dc.citation.volume | 161 | |
dc.citation.issue | 3 | |
dc.citation.spage | 273 | |
dc.citation.epage | 280 | |
dc.identifier.wos | 000256642600010 | |
dc.identifier.doi | 10.1016/j.resp.2008.03.001 | |
dc.citation.rank | M23 | |
dc.identifier.pmid | 18420469 | |
dc.description.other | Peer-reviewed version of the article (Accepted Manuscript or postprint) available at: [https://vinar.vin.bg.ac.rs/handle/123456789/8878] | |
dc.type.version | publishedVersion | |
dc.identifier.scopus | 2-s2.0-43349091219 |
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