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Computational Modeling of Space Physiology for Informing Spaceflight Countermeasure Design and Predictions of EfficacyMOTIVATION: Spaceflight countermeasures mitigate the harmful effects of the space environment on astronaut health and performance. Exercise has historically been used as a countermeasure to physical deconditioning, and additional countermeasures including lower body negative pressure, blood flow occlusion and artificial gravity are being researched as countermeasures to spaceflight-induced fluid shifts. The NASA Digital Astronaut Project uses computational models of physiological systems to inform countermeasure design and to predict countermeasure efficacy.OVERVIEW: Computational modeling supports the development of the exercise devices that will be flown on NASAs new exploration crew vehicles. Biomechanical modeling is used to inform design requirements to ensure that exercises can be properly performed within the volume allocated for exercise and to determine whether the limited mass, volume and power requirements of the devices will affect biomechanical outcomes. Models of muscle atrophy and bone remodeling can predict device efficacy for protecting musculoskeletal health during long-duration missions. A lumped-parameter whole-body model of the fluids within the body, which includes the blood within the cardiovascular system, the cerebral spinal fluid, interstitial fluid and lymphatic system fluid, estimates compartmental changes in pressure and volume due to gravitational changes. These models simulate fluid shift countermeasure effects and predict the associated changes in tissue strain in areas of physiological interest to aid in predicting countermeasure effectiveness. SIGNIFICANCE: Development and testing of spaceflight countermeasure prototypes are resource-intensive efforts. Computational modeling can supplement this process by performing simulations that reduce the amount of necessary experimental testing. Outcomes of the simulations are often important for the definition of design requirements and the identification of factors essential in ensuring countermeasure efficacy.
Document ID
20170006620
Acquisition Source
Glenn Research Center
Document Type
Presentation
Authors
Lewandowski, B. E.
(NASA Glenn Research Center Cleveland, OH United States)
DeWitt, J. K.
(Wyle Labs., Inc. Houston, TX, United States)
Gallo, C. A.
(NASA Glenn Research Center Cleveland, OH United States)
Gilkey, K. M.
(NASA Glenn Research Center Cleveland, OH United States)
Godfrey, A. P.
(Zin Technologies, Inc. Cleveland, OH, United States)
Humphreys, B. T.
(Zin Technologies, Inc. Cleveland, OH, United States)
Jagodnik, K. M.
(National Space Biomedical Research Inst. (NSBRI) Houston, TX, United States)
Kassemi, M.
(Case Western Reserve Univ. Cleveland, OH, United States)
Myers, J. G.
(NASA Glenn Research Center Cleveland, OH United States)
Nelson, E. S.
(NASA Glenn Research Center Cleveland, OH United States)
Pennline, J. A.
(NASA Glenn Research Center Cleveland, OH United States)
Perusek, G. P.
(NASA Glenn Research Center Cleveland, OH United States)
Thompson, W. K.
(NASA Glenn Research Center Cleveland, OH United States)
Werner, C. R.
(Zin Technologies, Inc. Cleveland, OH, United States)
Nall, M. M.
(NASA Glenn Research Center Cleveland, OH United States)
Date Acquired
July 18, 2017
Publication Date
May 1, 2017
Subject Category
Aerospace Medicine
Report/Patent Number
GRC-E-DAA-TN41999
Meeting Information
Meeting: Aerospace Medical Association Annual Scientific Meeting
Location: Denver, CO
Country: United States
Start Date: April 29, 2017
End Date: May 4, 2017
Sponsors: Aerospace Medical Association
Funding Number(s)
WBS: WBS 516724.01.02.10
CONTRACT_GRANT: NNC14CA02C
CONTRACT_GRANT: NNC13BA10B
CONTRACT_GRANT: NNJ15HK11B
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
biomedical data
simulation
mathematical models
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