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Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat

Authors :
Tijana Bojić
David W. Carley
Aleksandar Kalauzi
Miodrag Radulovacki
Jasna Saponjic
Source :
Respiratory Physiology & Neurobiology, Respiratory Physiology and Neurobiology
Publication Year :
2008
Publisher :
Elsevier BV, 2008.

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. This is accepted peer-reviewed version of the article: Bojic, T., Saponjic, J., Radulovacki, M., Carley, D. W., & Kalauzi, A. (2008). Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat. Respiratory physiology & neurobiology, 161(3), 273-280. [http://dx.doi.org/10.1016/j.resp.2008.03.001] Published version: [https://vinar.vin.bg.ac.rs/handle/123456789/8871]

Details

ISSN :
15699048
Volume :
161
Database :
OpenAIRE
Journal :
Respiratory Physiology & Neurobiology
Accession number :
edsair.doi.dedup.....e2e723c97f60165775861cf420c801ec
Full Text :
https://doi.org/10.1016/j.resp.2008.03.001