Literature DB >> 88326

Assessment of the H-reflex excitability curve using a cubic spline function.

K C Hayes, K L Robinson, G A Wood, L S Jennings.   

Abstract

A procedure for modeling H-reflex recovery curve data is described. The procedure involves fitting a cubic spline function to the recorded data points in such a way that the goodness of fit is determined by the standard error of the mean of each point. The cubic spline function possesses numerous advantages over other subjective and objective procedures for extracting information from the excitability curve.

Mesh:

Year:  1979        PMID: 88326     DOI: 10.1016/0013-4694(79)90057-9

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  2 in total

1.  A sigmoid function is the best fit for the ascending limb of the Hoffmann reflex recruitment curve.

Authors:  Marc Klimstra; E Paul Zehr
Journal:  Exp Brain Res       Date:  2007-11-27       Impact factor: 1.972

2.  An oscillatory component of the H-reflex.

Authors:  J W Crayton; R R Rued
Journal:  J Neurol Neurosurg Psychiatry       Date:  1981-03       Impact factor: 10.154

  2 in total

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