Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat
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2008
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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 ≤ 0.0...2), 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.
Keywords:
Monotone Signal Segments Analysis / breath detection / breath-to-breath interval / rat / respiratory pattern modulation / monoaminergic lesionSource:
Respiratory Physiology and Neurobiology, 2008, 161, 3, 273-280Funding / projects:
- Interakcija glije i neurona u procesu oporavka nakon oštećenja centralnog nervnog sistema (RS-MESTD-MPN2006-2010-143005)
- Uticaj struktura u moždanom stablu i kičmenoj moždini na varijabilitet krvnog pritiska i srčane frekvencije (RS-MESTD-MPN2006-2010-145062)
- Uticaj magnetnih polja kao ekofiziološkog faktora na različite biološke sisteme i moguća primena u biomedicini (RS-MESTD-MPN2006-2010-143027)
- National Institute of Health [AG016303]
Note:
- Peer-reviewed version of the article (Accepted Manuscript or postprint) available at: https://vinar.vin.bg.ac.rs/handle/123456789/8878
DOI: 10.1016/j.resp.2008.03.001
ISSN: 1569-9048
PubMed: 18420469
WoS: 000256642600010
Scopus: 2-s2.0-43349091219
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VinčaTY - JOUR AU - Bojić, Tijana AU - Šaponjić, Jasna AU - Radulovački, Miodrag AU - Carley, David W AU - Kalauzi, Aleksandar PY - 2008 UR - https://vinar.vin.bg.ac.rs/handle/123456789/8871 AB - 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. T2 - Respiratory Physiology and Neurobiology T1 - Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat VL - 161 IS - 3 SP - 273 EP - 280 DO - 10.1016/j.resp.2008.03.001 ER -
@article{ author = "Bojić, Tijana and Šaponjić, Jasna and Radulovački, Miodrag and Carley, David W and Kalauzi, Aleksandar", year = "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.", journal = "Respiratory Physiology and Neurobiology", title = "Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat", volume = "161", number = "3", pages = "273-280", doi = "10.1016/j.resp.2008.03.001" }
Bojić, T., Šaponjić, J., Radulovački, 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. in Respiratory Physiology and Neurobiology, 161(3), 273-280. https://doi.org/10.1016/j.resp.2008.03.001
Bojić T, Šaponjić J, Radulovački M, Carley DW, Kalauzi A. Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat. in Respiratory Physiology and Neurobiology. 2008;161(3):273-280. doi:10.1016/j.resp.2008.03.001 .
Bojić, Tijana, Šaponjić, Jasna, Radulovački, Miodrag, Carley, David W, Kalauzi, Aleksandar, "Monotone Signal Segments Analysis as a novel method of breath detection and breath-to-breath interval analysis in rat" in Respiratory Physiology and Neurobiology, 161, no. 3 (2008):273-280, https://doi.org/10.1016/j.resp.2008.03.001 . .
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