2010
DOI: 10.1016/j.gaitpost.2010.05.017
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Identification of peripheral neuropathy in type-2 diabetic subjects by static posturography and linear discriminant analysis

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Cited by 39 publications
(25 citation statements)
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“…This was primarily evident for the amount (range, area), variability (SD) and structure (ApEn) of COP motion. While it has been previously reported that older diabetic individuals tend to exhibit more postural motion [19,20], the T2DM-F group in the current study actually had less COP motion compared to controls, regardless of falls status. In addition, the COP motion for the T2DM-F group was more irregular and variable, exhibited stronger AP-ML coupling, and was characterized by increased COP velocity.…”
Section: Falls Risk and Cop Regularitycontrasting
confidence: 72%
“…This was primarily evident for the amount (range, area), variability (SD) and structure (ApEn) of COP motion. While it has been previously reported that older diabetic individuals tend to exhibit more postural motion [19,20], the T2DM-F group in the current study actually had less COP motion compared to controls, regardless of falls status. In addition, the COP motion for the T2DM-F group was more irregular and variable, exhibited stronger AP-ML coupling, and was characterized by increased COP velocity.…”
Section: Falls Risk and Cop Regularitycontrasting
confidence: 72%
“…35 For example, diabetic persons with sensory deficits in the feet can exhibit increased postural motion and slower gait speed 29-32 with increased stride time variability. 26,30,[36][37][38][39][40][41] Their impact is further magnified when the task is made more difficult, as when walking or standing on irregular surfaces. 19,42,43 In addition, there is slowing of the reaction time, loss of the ability to prevent progression to a fall after its initiation, and dorsiflexion weakness, 44 which increase the susceptibility to tripping on loose rugs, carpets, and minor variations in step height (eg, the first step or last step on a flight of stairs).…”
Section: Neuropathy Is Strongly Linked To Fallingmentioning
confidence: 99%
“…Therefore, these tools have begun to be used to describe and understand CoP signal, but actually, very few investigations have been conducted in subjects with DPN, as recorded in Table 1. As research by Fioretti et al (2010) used Lyapunov Exponent, but they did not find any significant differences between diabetics with and without DPN and Morrison et al (2012) used approximate Entropy finding significant differences between controls and diabetics [6].…”
Section: B Linear and Nonlinear Parametersmentioning
confidence: 96%