The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
A Mathematical Model of Respiratory and Biothermal Dynamics in Brain Hypothermia Treatment
Abstract
Brain hypothermia treatment (BHT) requires proper mechanical ventilation and therapeutic cooling. The cooling strategy for BHT has been mainly discussed in the literature while little information is available on the respiratory management. We first developed a mathematical model that integrates the respiratory and biothermal dynamics to discuss the simultaneous managements of mechanical ventilation and therapeutic cooling. The effect of temperature on the linear approximations of hemoglobin-oxygen dissociation, together with temperature dependency of metabolism, is introduced during modeling to combine the respiratory system with the biothermal system. By comparing its transient behavior with published data, the model is verified qualitatively and then quantitatively. Second, model-based simulation of the current respiratory management in BHT suggests reduction of minute ventilation in reference to cooled brain temperature to stabilize the states of blood and brain oxygenation. Lastly, the relationship between cooling temperature and minute ventilation is approximated by a linear first-order transfer function of static gain 0.61min(-1) degrees C(-1) and time constant 8.9 h, which is used to develop a feedforward control to tune the mechanical ventilator in concert with temperature regulation of the cooling blanket. Discussion of the model encourages further studies that provide direct evidence from clinical experiments.
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In an integrative model developed by the authors previously for systems medicine in the intensive care unit, the body is approximated by 6 segments or 13 compartments, and various parameters are determined mainly from the literature.
“In an integrative model developed by the authors previously for systems medicine in the intensive care unit, the body is approximated by 6 segments (cranial, cardiocirculatory, lungs, muscle, visceral and others) or 13 compartments, and various parameters are determined mainly from the literature [18-21].”
From A mathematical model of brain glucose homeostasis (2009) · cites this paper as [20]
Various physiological parameters, such as distribution volume, blood flow and metabolic allocation, are common to the current model and the integrated model developed previously for systems medicine in the intensive care.
“Various physiological parameters, such as distribution volume, blood flow and metabolic allocation, are common to the current model and the integrated model developed previously for systems medicine in the intensive care [18-21].”
From A mathematical model of brain glucose homeostasis (2009) · cites this paper as [20]
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A mathematical model of brain glucose homeostasis
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Metadata
- Authors
- Gaohua, L., & Kimura, H.
- Affiliations
- RIKEN (JP)
- ORCID
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2008-04
- Volume
- 55
- Issue
- 4
- Pages
- 1266-1278
- ISSN
- 0018-9294 (ISSN-L)
- 1558-2531
- OpenAlex
- W2123190970
- Cited by
- 10
- References
- 34
- Citations by year
- 2022: 1 · 2020: 2 · 2017: 1
- FWCI
- 1.63
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Thermal Regulation in Medicine
- Health Sciences › Medicine › Physiology (medical) › Biomedical and Chemical Research
- Health Sciences › Medicine › Physiology (medical) › Thermoregulation and physiological responses
- Keywords
- therapeutic hypothermia, mechanical ventilation, respiratory management, temperature dependence of metabolism, minute ventilation, blood oxygenation, cerebral oxygenation, cooling blanket, feedforward control, transfer function, mathematical model
- MeSH terms
- Body Temperature Regulation, Brain, Computer Simulation, Craniocerebral Trauma, Humans, Hypothermia, Induced, Lung, Models, Biological, Respiration, Treatment Outcome
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