Descripción
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The present work describes a methodology that will serve as the base for a human gait analysis module for the assessment of Parkinson¿s disease (PD). A network of five wireless accelerometers located on the limbs and trunk composes the module. The current work shows that it is possible to discriminate the complexity of the gait patterns between PD patients and healthy subjects using the sample entropy (SE) technique. It also shows that increases in entropy are related to the Unified Parkinson¿s Disease Rating Scale (UPDRS) severity of gait, although this relationship is not linear. | |
Internacional
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Si |
Nombre congreso
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AMI 2009 |
Tipo de participación
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960 |
Lugar del congreso
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Salzburg, Austria |
Revisores
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Si |
ISBN o ISSN
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978-3-902737-00-7 |
DOI
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Fecha inicio congreso
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18/11/2009 |
Fecha fin congreso
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21/11/2009 |
Desde la página
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256 |
Hasta la página
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259 |
Título de las actas
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AmI09 Salzburg |