Artificial neural network: A new diagnostic posturographic tool for disorders of stance

To determine the accuracy of diagnoses made with artificial neural network techniques (ANNW) that identify postural sway patterns typical for balance disorders. Body sway was measured by means of posturography during 10 test conditions of increasing difficulty. From a database of 676 subjects 60 tra...

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Veröffentlicht in:	Clinical neurophysiology Jg. 117; H. 8; S. 1692 - 1698
Hauptverfasser:	Krafczyk, Siegbert, Tietze, Simon, Swoboda, Walter, Valkovič, Peter, Brandt, Thomas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Shannon Elsevier Ireland Ltd 01.08.2006 Elsevier Science
Schlagworte:	Adolescent Adult Aged Artificial neural network Back-propagation-algorithm Biological and medical sciences Electrodiagnosis. Electric activity recording Female Fundamental and applied biological sciences. Psychology Humans Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Middle Aged Motor control and motor pathways. Reflexes. Control centers of vegetative functions. Vestibular system and equilibration Nervous system Neural Networks (Computer) Neurological diseases Postural Balance - physiology Posturography Sensation Disorders - diagnosis Sensitivity and Specificity Upright stance Vertebrates: nervous system and sense organs Neurological diseases Upright stance Posturography Artificial neural network Back-propagation-algorithm Human Validation Nervous system diseases Tremor Anxiety disorder Neural network Vertigo Involuntary movement Posture Atrophy Equilibrium disorder Phobia Accuracy Body movement Database ENT disease Diagnosis Technique Neurological disorder
ISSN:	1388-2457, 1872-8952
Online-Zugang:	Volltext
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