TY  - 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 . .

TY  - 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/123456789/8878
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 . .