Linked Life Data

11540696

Source:http://linkedlifedata.com/resource/pubmed/id/11540696

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
1998-8-22
pubmed:abstractText
A detailed analysis of autonomic cardiovascular control (ACVC) may provide a key to a better understanding of the mechanisms underlying postflight orthostatic hypotension. The central substrate of human ACVC is not directly accessible to measurements and observation in space research. Modelling--supporting inference and physiological reasoning--is a valuable tool to disclose its involvement We are currently determining the suitability of artificial neural networks (ANN's) as a model of the central substrate of ACVC. Having conducted a number of experiments with simulated tilt test data to clarify the choice of input coding and of architectural biases in network training we will now report on the approximation of data obtained from human subjects during preparation of the German MIR'97 and D-2 missions.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
S
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1077-9248
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NASA
pubmed:authorsComplete
Y
pubmed:pagination
P49-50
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
Cardiovascular regulation: a modelling approach.
pubmed:affiliation
Bonn University, Department of Computer Science I, FRG. aster@cs.uni-bonn.de
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't