Relevant bibliographies by topics / Cardio-respiratory modeling

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Cardio-respiratory modeling'

Author: Grafiati
Published: 11 September 2022
Last updated: 18 September 2022

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Journal articles on the topic "Cardio-respiratory modeling"

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Indic, Premananda, Elisabeth Bloch-Salisbury, Frank Bednarek, Emery N. Brown, David Paydarfar, and Riccardo Barbieri. "Assessment of cardio-respiratory interactions in preterm infants by bivariate autoregressive modeling and surrogate data analysis." Early Human Development 87, no. 7 (July 2011): 477–87. http://dx.doi.org/10.1016/j.earlhumdev.2011.04.001.

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Demin, A. V., A. V. Suvorov, and O. I. Orlov. "CHARACTERSTICS OF HEALTHY MEN HEMODYNAMICS IN A HYPOMAGNETIC ENVIRONMENT." Aerospace and Environmental Medicine 55, no. 2 (2021): 63–68. http://dx.doi.org/10.21687/0233-528x-2021-55-2-63-68.

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Hemodynamics was studied in essentially healthy resting 8 male subjects exposed to an experimental hypomagnetic environment (HME). The cardio-respiratory system functioning was evaluated by 8-hour continuous monitoring of heart rate (HR), blood pressure (BP) fluctuations during every cardiac cycle, Kerdo autonomic index (KAI) and blood oxygenation (SpO2) in the Earth's natural magnetic field and a field attenuated in approximately 1,000 times. Comparative analysis of the measurements made in the control and HME tests elicited different trends. Thus, the HR average reduction amounted to 4 bpm; BP dropped significantly, i.e. diastolic BP by 11 mmHg and systolic BP, 16 mmHg on average. In HME, KAI rose commonly 20 %. Hemoglobin saturation did not change. The paper contains graphic interpretations of the KAI dependence on duration of the HME exposure. Mathematical modeling suggests a physiological interpretation of these results. More often than not sitting at rest in HME reduced substantially the modulating effect of parasympathetic regulation on the cardiovascular system in comparison with the control test in the normal geomagnetic field.
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Umbarkar, Tejas S., and Clement Kleinstreuer. "Computationally Efficient Fluid-Particle Dynamics Simulations of Arterial Systems." Communications in Computational Physics 17, no. 2 (January 23, 2015): 401–23. http://dx.doi.org/10.4208/cicp.160114.120914a.

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AbstractRealistic and accurate computer simulations of the particle-hemodynamics in arterial systems can be a valuable tool for numerous biomedical applications. Examples include optimal by-pass grafting and optimal drug-delivery, as well as best medical management concerning the cardio-vascular system. However, such numerical analyses require large computer resources which may become prohibitive for extended sets of arterial bifurcations. A remedy is to develop a hybrid model where the first few generations of the bifurcating arteries of interest are simulated in full 3-D, while a 1-D model is then coupled for subsequent bifurcations. Alternatively, a 1-D computer model can be directly employed to simulate fluid-particle transport in complex bifurcating networks.Relying on a representative axial velocity profile, a physiological 1-D model has been developed and validated, which is capable of predicting with reasonable accuracy arterial flow, pressure field and elastic wall interaction as well as particle transport. The usefulness of the novel 1-D simulation approach is demonstrated via a comparison to 3-D blood flow and microsphere transport in a hepatic artery system, featuring as outlets one major branch and four small daughter vessels. Compared to the 3-D simulation, the 1-D analysis requires only about 1% of computational time. The hybrid modeling approach would be also applicable to the human respiratory tract to evaluate the fate of inhaled aerosols.A simple and cost-effective way to simulate particle-hemodynamics is using a 1-D model for simulating arterial pressures and flow rates as well as microsphere transport, based on assumptions involving the use of a simple algebraic pressure-area relation, an exponential elasticity model for the vessels, and considering only unidirectional flow with a representative skewed velocity profile. In summary, the novel contributions are:• Particle tracking in arteries via 1-D fluid modeling and selection of an averaged, skewed velocity profile based on 3-D simulation results to provide more realistic friction and inertia term values for modeling a flow system with bifurcations.• The 1-D model can be coupled to a 3-D model so that simulations can be run for larger regions of vascular or lung-airway systems.
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Haddad, Azzam, Yi Zhang, Steven Su, Branko Celler, and Hung Nguyen. "Modelling and regulating of cardio-respiratory response for the enhancement of interval training." BioMedical Engineering OnLine 13, no. 1 (2014): 9. http://dx.doi.org/10.1186/1475-925x-13-9.

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Paterson, David J., and Julian F. R. Paton. "Insights gleaned from pharmaco-genetic dissection and modelling of cardio-respiratory neural networks." Journal of Physiology 593, no. 14 (July 15, 2015): 3031. http://dx.doi.org/10.1113/jp270838.

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Ogawa, Teruyuki, Naoki Fukushima, Masanobu Kojo, Hirotomi Sonoda, Kazuya Goto, Kouichi Wakayama, and Shun Ishiwa. "Cardio-respiratory control in an infant with Ondine's curse. Multivariate autoregressive modelling approach." Journal of the Autonomic Nervous System 45, no. 3 (December 1993): 254. http://dx.doi.org/10.1016/0165-1838(93)90067-5.

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Munk, Marc-David, Dora M. Carboneau, Muhammed Hardan, and Faleh Mohamed Ali. "Seatbelt Use in Qatar in Association with Severe Injuries and Death in the Prehospital Setting." Prehospital and Disaster Medicine 23, no. 6 (December 2008): 547–52. http://dx.doi.org/10.1017/s1049023x00006397.

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AbstractIntroduction:Road traffic crashes (RTCs) are common in Qatar, and are now considered the third leading cause of mortality. In this study, the safety devices used by the Qatari public at the time of RTCs were assessed and the association between seatbelt use by vehicle occupants involved in RTCs and severe injury/death in the prehospital setting was determined.Methods:This study was a retrospective case-control investigation. A Hamad Medical Corporation Emergency Medical Services (EMS) database of RTCs occurring from January 2006 to April 2007 was utilized for this study, providing a total of 5,267 patient records (83.5 % male, 16.5% female, median age = 28 years). Patient demographics, crash characteristics, prehospital assessments, and interventions were identified, and use of safety devices was determined. Univariate analysis including chi-square, Student's t-test, and analysis of variance (ANOVA) was performed as appropriate. “Case” patients are defined as those who had specific, critical prehospital assessments, or who received advanced cardio-respiratory life support measures in the field. Logistic regression modeling was used to predict the probability of a case being unbelted, controlling for confounders.Results:Seatbelt use in Qatar was low: 33.9% of males and 32.6% of females wore seatbelts at the time of the RTC. Victims involved in a vehicle rollover crash were less likely to be belted than were those involved in a non-rollover incident (26.2% belted vs. 37.8%; OR = 0.59; 95%CI = 0.50–0.68). Case patients—those with defined critical assessment findings or resuscitation in the field—and control patients were similar in age (30 years vs. 28 years median). Case patients were disproportionately male (89.1% vs. 83.2%; OR = 1.65; 95%CI = 1.01–2.83) and were more likely to be victims of a vehicle rollover crash (44.7% vs. 23.8%; OR = 2.57; 95%CI = 1.84–3.59). Seatbelt use was significantly lower among cases than controls: 19.7% of cases were reported to have worn seatbelts compared to 34.2% of controls (OR = 0.47; 95%CI = 0.31–0.69). This relationship also persisted (OR = 0.51; 95%CI = 0.33–0.76) after controlling for confounders.Conclusions:Seatbelt use in Qatar is low. Seatbelts are protective: in the pre-hospital setting unbelted vehicle occupants involved in RTCs were nearly twice as likely to suffer severe injury or death compared to belted patients. Prehospital morbidity and mortality appears to be reduced significantly by the consistent use of seatbelts by the motoring population in Qatar.
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Ogawa, Teruyuki, Masanobu Kojo, Naoki Fukushima, Hirotomi Sonoda, Kazuya Goto, Shun Ishiwa, and Makoi Ishiguro. "Cardio-respiratory control in an infant with Ondine's curse: a multivariate autoregressive modelling approach." Journal of the Autonomic Nervous System 42, no. 1 (January 1993): 41–51. http://dx.doi.org/10.1016/0165-1838(93)90340-z.

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Huang, Yi, Francesca Dominici, and Michelle L. Bell. "Bayesian hierarchical distributed lag models for summer ozone exposure and cardio-respiratory mortality." Environmetrics 16, no. 5 (2005): 547–62. http://dx.doi.org/10.1002/env.721.

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Topczewska, Magdalena, Małgorzata Sawicka-Żukowska, Joanna Zapolska, Lucyna Ostrowska, and Maryna Krawczuk-Rybak. "Statistical Methods in the Evaluation of Cardio-Respiratory Parameters in Young Childhood Cancer Survivors and Healthy Peers." Studies in Logic, Grammar and Rhetoric 56, no. 1 (December 1, 2018): 29–44. http://dx.doi.org/10.2478/slgr-2018-0039.

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Abstract This study concerns the problem of late complications of antineo-plastic therapy. Reduced parameters of the cardiorespiratory system in childhood may have a tremendous impact on health. In order to assess the selected parameters, to evaluate physical endurance, and compare the results with those obtained for healthy children, a test was carried out on a treadmill, until 80% of maximum pulse rate was reached. To compare the differences between the treatment group and the control group, three approaches were used. The first one was the classical statistical inference, the second consisted in forming a multidimensional normal model and also involved modelling of the correlation between variables. The unstructured type of the working correlation matrix was chosen to obtain the results and correct standard errors. In the last approach, logistic regression was used to model the relationship between binary outcome and covariates, and to differentiate between the groups of patients on the basis of their cardiovascular parameters.
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Dissertations / Theses on the topic "Cardio-respiratory modeling"

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Abdulhay, Enas. "Une nouvelle méthode non-invasive d'estimation cycle à cycle du volume d'éjection cardiaque dans le signal de plethysmographie respiratoire par inductance : algorithme de "double décomposition empirique"." Université Joseph Fourier (Grenoble ; 1971-2015), 2009. http://www.theses.fr/2009GRE10220.

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L'objectif principal qui guide les développements en traitement du signal de cette thèse est la mise au point d'un outil qui s'inscrit dans une démarche de physiologie intégrative où, à chaque échelle, le modèle des signaux peut être différent On cherche ici à restreindre le jeu d'hypothèses a priori à un ensemble de règles physiologiques qui régissent les interactions entre functions physiologiques en l'absence d'hypothèses fonnelles et: mathématiques sur les signaux. Nous avons appliqué cette démarche au problème de la détection des ondes cardiaques et: de l' estimation cycle à cycle du volume d'éjection dans le signal RIP (Respiratoty Inductive Plethysmography). L'approche par décomposition empirique se prête particulièrement à notre logique. Nous proposons ici la première version d'un algorithme basé sur une double décomposition empirique du signal RIP. La méthode choisie et: les outils correspondants ont été testés sur deux types de données, d'une part des signaux simulés, d'autre part des signaux enregistrés sur volontaires sains. Notre objectif est donc aussi de mettre au point un modèle cardiorespiratoire pouvant servir d'outil de simulation des signaux ventilatoires, cardiaques et: de RIP avec la simulation de l'effet de chaque système sur l'autre. Les résultats montrent que la méthode proposée est adaptée à l'analyse du signal RIP et: à l' estimation du volume d'éjection
The main objective that guides the signal processing approaches ofthis thesis is the development of a tool that oould be part of an integrative physiology approach where, at each scale, the model of signais may be different We seek here the restriction of asstnnptions a priori to a set: of rules goveming the physiological interactions between physiological functions in the absence of fannal and mathematical assumptions. We applied this approach to the problem of cardiac waves detection and estimation of cycle-to-cycle stroke volume in the RIP signal (Respiratory Inductive Plethysmography). The empirical decomposition approach seems to be particularly adapted to our logic. We propose here the first version of an algorithm based on RIP double decomposition. The method and its COITeSpül1ding tools have been tested on two types of data, simulated signais and real signais recorded at healthy volunteers. Our aim is also therefore to develop a cardio-respiratory model that can serve as a tool for ventilatory, cardiac and RIP signals simulation along with the simulation of the effect of each system on the other. The results show that the proposed method is suitable for RIP signal analysis and for stroke volume estimation
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Hosseini-Yazdi, Ahmad Reza. "Spectral pattern analysis and modelling applied to the cardio-respiratory development of neonates." Thesis, Imperial College London, 1988. http://hdl.handle.net/10044/1/47112.

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Matušek, Adam. "Modelling of cardiac impedance signals." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219669.

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Tato diplomová práce se zabývá vytvořením modelu signálu impedančního měření srdce (ICG signál). Impedanční kardiografie podává informaci o změně srdečního objemu během srdečního cyklu. Modelování signálu předchází statistická analýza vzájemné pozice ICG signálu vzhledem k dalším mechanickým srdečním signálům. Konstrukce modelu vychází z reálných nasnímaných signálů. Konečný ICG model je začleněn do již existujícího modelu mechanických interakcí mezi srdcem a plícemi. Výsledkem je funkční model kardio-respiračních interakcí, který bude sloužit v dalších částech výzkumu laboratoře PRETA.
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Book chapters on the topic "Cardio-respiratory modeling"

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Scheid, P., H. Shams, W. Karla, and J. A. Orr. "Acid Infusion Elicits Thromboxane-Mediated Cardio-Respiratory Effects." In Control of Breathing and Its Modeling Perspective, 71–74. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-9847-0_11.

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Olofsen, Erik, Albert Dahan, Luc Teppema, Elise Sarton, and Cees Olievier. "Pharmacokinetic-pharmacodynamic modeling of sevoflurane-induced respiratory depression in the cat." In Physiology And Pharmacology of Cardio-Respiratory Control, 121–26. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5129-0_18.

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Conference papers on the topic "Cardio-respiratory modeling"

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Batzel, J. J., L. Ellwein, and M. S. Olufsen. "Modeling cardio-respiratory system response to inhaled CO2 in patients with congestive heart failure." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090673.

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