RR interval-respiratory signal waveform modeling in human slow paced and spontaneous breathing
Abstract
Our aim was to model the dependence of respiratory sinus arrhythmia (RSA) on the respiratory waveform and to elucidate underlying mechanisms of cardiorespiratory coupling. In 30 subjects, RR interval and respiratory signal were recorded during spontaneous and paced (0.1 Hz/0.15 Hz) breathing and their relationship was modeled by a first order linear differential equation. This model has two parameters: a0 (related to the instantaneous degree of abdominal expansion) and a1 (referring to the speed of abdominal expansion). Assuming that a0 represents slowly adapting pulmonary stretch receptors (SARs) and a1 SARs in coordination with other stretch receptors and central integrative coupling; then pulmonary stretch receptors relaying the instantaneous lung volume are the major factor determining cardiovagal output during inspiration. The models results depended on breathing frequency with the least error occurring during slow paced breathing. The role of vagal afferent neurons in cardiorespi...ratory coupling may relate to neurocardiovascular diseases in which weakened coupling among venous return, arterial pressure, heart rate and respiration produces cardiovagal instability. (C) 2014 Elsevier B.V. All rights reserved.
Keywords:
Mathematical modeling / Cardiorespiratory coupling / Respiratory sinus arrhythmia / Breathing / Slowly adapting pulmonary stretch receptorsSource:
Respiratory Physiology and Neurobiology, 2014, 203, 51-59Funding / projects:
- Neurobiology of sleep in aging and disease - electroencephalographic markers and modeling in the estimation of disorder (RS-MESTD-Basic Research (BR or ON)-173022)
- Development of new technology for production of red wine and diatery supplements reach with polyphenols with cardioprotective effects (RS-MESTD-Technological Development (TD or TR)-31020)
- An integral study to identify the regional genetic and environmental risk factors for the common noncommunicable diseases in the human population of Serbia - INGEMA_S (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-41028)
DOI: 10.1016/j.resp.2014.08.004
ISSN: 1569-9048
PubMed: 25139803
WoS: 000344136200008
Scopus: 2-s2.0-84907702226
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VinčaTY - JOUR AU - Kapidžić, Ana AU - Platiša, Mirjana M. AU - Bojić, Tijana AU - Kalauzi, Aleksandar PY - 2014 UR - https://vinar.vin.bg.ac.rs/handle/123456789/188 AB - Our aim was to model the dependence of respiratory sinus arrhythmia (RSA) on the respiratory waveform and to elucidate underlying mechanisms of cardiorespiratory coupling. In 30 subjects, RR interval and respiratory signal were recorded during spontaneous and paced (0.1 Hz/0.15 Hz) breathing and their relationship was modeled by a first order linear differential equation. This model has two parameters: a0 (related to the instantaneous degree of abdominal expansion) and a1 (referring to the speed of abdominal expansion). Assuming that a0 represents slowly adapting pulmonary stretch receptors (SARs) and a1 SARs in coordination with other stretch receptors and central integrative coupling; then pulmonary stretch receptors relaying the instantaneous lung volume are the major factor determining cardiovagal output during inspiration. The models results depended on breathing frequency with the least error occurring during slow paced breathing. The role of vagal afferent neurons in cardiorespiratory coupling may relate to neurocardiovascular diseases in which weakened coupling among venous return, arterial pressure, heart rate and respiration produces cardiovagal instability. (C) 2014 Elsevier B.V. All rights reserved. T2 - Respiratory Physiology and Neurobiology T1 - RR interval-respiratory signal waveform modeling in human slow paced and spontaneous breathing VL - 203 SP - 51 EP - 59 DO - 10.1016/j.resp.2014.08.004 ER -
@article{ author = "Kapidžić, Ana and Platiša, Mirjana M. and Bojić, Tijana and Kalauzi, Aleksandar", year = "2014", abstract = "Our aim was to model the dependence of respiratory sinus arrhythmia (RSA) on the respiratory waveform and to elucidate underlying mechanisms of cardiorespiratory coupling. In 30 subjects, RR interval and respiratory signal were recorded during spontaneous and paced (0.1 Hz/0.15 Hz) breathing and their relationship was modeled by a first order linear differential equation. This model has two parameters: a0 (related to the instantaneous degree of abdominal expansion) and a1 (referring to the speed of abdominal expansion). Assuming that a0 represents slowly adapting pulmonary stretch receptors (SARs) and a1 SARs in coordination with other stretch receptors and central integrative coupling; then pulmonary stretch receptors relaying the instantaneous lung volume are the major factor determining cardiovagal output during inspiration. The models results depended on breathing frequency with the least error occurring during slow paced breathing. The role of vagal afferent neurons in cardiorespiratory coupling may relate to neurocardiovascular diseases in which weakened coupling among venous return, arterial pressure, heart rate and respiration produces cardiovagal instability. (C) 2014 Elsevier B.V. All rights reserved.", journal = "Respiratory Physiology and Neurobiology", title = "RR interval-respiratory signal waveform modeling in human slow paced and spontaneous breathing", volume = "203", pages = "51-59", doi = "10.1016/j.resp.2014.08.004" }
Kapidžić, A., Platiša, M. M., Bojić, T.,& Kalauzi, A.. (2014). RR interval-respiratory signal waveform modeling in human slow paced and spontaneous breathing. in Respiratory Physiology and Neurobiology, 203, 51-59. https://doi.org/10.1016/j.resp.2014.08.004
Kapidžić A, Platiša MM, Bojić T, Kalauzi A. RR interval-respiratory signal waveform modeling in human slow paced and spontaneous breathing. in Respiratory Physiology and Neurobiology. 2014;203:51-59. doi:10.1016/j.resp.2014.08.004 .
Kapidžić, Ana, Platiša, Mirjana M., Bojić, Tijana, Kalauzi, Aleksandar, "RR interval-respiratory signal waveform modeling in human slow paced and spontaneous breathing" in Respiratory Physiology and Neurobiology, 203 (2014):51-59, https://doi.org/10.1016/j.resp.2014.08.004 . .