Literature DB >> 18461820

Prediction of heat-illness symptoms with the prediction of human vascular response in hot environment under resting condition.

Yogender Aggarwal1, Bhuwan Mohan Karan, Barsa Nand Das, Rakesh Kumar Sinha.   

Abstract

The thermoregulatory control of human skin blood flow is vital to maintain the body heat storage during challenges of thermal homeostasis under heat stress. Whenever thermal homeostasis disturbed, the heat load exceeds heat dissipation capacity, which alters the cutaneous vascular responses along with other body physiological variables. Whole body skin blood flow has been calculated from the forearm blood flow. Present model has been designed using electronics circuit simulator (Multisim 8.0, National Instruments, USA), is to execute a series of predictive equations for early prediction of physiological parameters of young nude subjects during resting condition at various level of dry heat stress under almost still air to avoid causalities associated with hot environmental. The users can execute the model by changing the environmental temperature in degrees C and exposure time in minutes. The model would be able to predict and detect the changes in human vascular responses along with other physiological parameters and from this predicted values heat related-illness symptoms can be inferred.

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Year:  2008        PMID: 18461820     DOI: 10.1007/s10916-007-9119-3

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  34 in total

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Journal:  J Appl Physiol (1985)       Date:  1999-11

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Journal:  J Physiol       Date:  1998-03-01       Impact factor: 5.182

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Journal:  J Appl Physiol       Date:  1972-06       Impact factor: 3.531

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Journal:  J Appl Physiol       Date:  1969-11       Impact factor: 3.531

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Authors:  Randell K Wexler
Journal:  Am Fam Physician       Date:  2002-06-01       Impact factor: 3.292

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Authors:  A M Costrini; H A Pitt; A B Gustafson; D E Uddin
Journal:  Am J Med       Date:  1979-02       Impact factor: 4.965

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  2 in total

1.  An unsupervised neural network to predict the level of heat stress.

Authors:  Yogender Aggarwal; Bhuwan Mohan Karan; Barda Nand Das; Rakesh Kumar Sinha
Journal:  J Clin Monit Comput       Date:  2008-11-25       Impact factor: 2.502

2.  Computer simulation of heat transfer in different tissue layers of body extremities under heat stress in deep anesthetic condition.

Authors:  Yogender Aggarwal; Bhuwan Mohan Karan; Barda Nand Das; Rakesh Kumar Sinha
Journal:  J Med Syst       Date:  2008-08       Impact factor: 4.460

  2 in total

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