Neurodegenerative diseases detection using distance metrics and sparse coding: A new perspective on gait symmetric features

Gait rhythm fluctuations are of great importance for automatic neurodegenerative diseases (NDDs) detection. They provide a cost-effective and noninvasive monitoring tool in which their parameters are related to neuromuscular function. This study investigated a new solution based on a set of new symm...

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Veröffentlicht in:	Computers in biology and medicine Jg. 120; S. 103736
Hauptverfasser:	Ghaderyan, Peyvand, Ghoreshi Beyrami, Seyede Marziyeh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.05.2020 Elsevier Limited
Schlagworte:	Algorithms Amyotrophic lateral sclerosis Chebyshev approximation Classification Classifiers Coding Datasets Divergence Dynamic gait series warping Euclidean geometry Gait Huntington's disease Huntingtons disease Internal Medicine Methods Movement disorders Neural coding Neurodegenerative diseases Other Parkinson's disease Principal components analysis Signal processing Symmetry Time series Trigonometric functions Amyotrophic lateral sclerosis Parkinson's disease Dynamic gait series warping Huntington's disease
ISSN:	0010-4825, 1879-0534, 1879-0534
Online-Zugang:	Volltext
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