DIMETER: a haptic master device for tremor diagnosis in neurodegenerative diseases

Gonzalez Herranz, Roberto; Barrientos Cruz, Antonio; Cerro Giner, Jaime del y Coca Hernandez, Benito (2014). DIMETER: a haptic master device for tremor diagnosis in neurodegenerative diseases. "Sensors", v. 14 (n. 3); pp. 4536-4559. ISSN 1424-8220. https://doi.org/10.3390/s140304536.

Descripción

Título: DIMETER: a haptic master device for tremor diagnosis in neurodegenerative diseases
Autor/es:
  • Gonzalez Herranz, Roberto
  • Barrientos Cruz, Antonio
  • Cerro Giner, Jaime del
  • Coca Hernandez, Benito
Tipo de Documento: Artículo
Título de Revista/Publicación: Sensors
Fecha: 2014
Volumen: 14
Materias:
Palabras Clave Informales: DIMETER; diagnostic tremor aids; Parkinson’s disease (PD) diagnosis; essential tremor (ET) diagnosis; neurodegenerative diseases; haptic master; tremor device
Escuela: E.U.I.T. Industrial (UPM) [antigua denominación]
Departamento: Electrónica, Automática e Informática Industrial [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

In this study, a device based on patient motion capture is developed for the reliable and non-invasive diagnosis of neurodegenerative diseases. The primary objective of this study is the classification of differential diagnosis between Parkinson's disease (PD) and essential tremor (ET). The DIMETER system has been used in the diagnoses of a significant number of patients at two medical centers in Spain. Research studies on classification have primarily focused on the use of well-known and reliable diagnosis criteria developed by qualified personnel. Here, we first present a literature review of the methods used to detect and evaluate tremor; then, we describe the DIMETER device in terms of the software and hardware used and the battery of tests developed to obtain the best diagnoses. All of the tests are classified and described in terms of the characteristics of the data obtained. A list of parameters obtained from the tests is provided, and the results obtained using multilayer perceptron (MLP) neural networks are presented and analyzed.

Más información

ID de Registro: 23282
Identificador DC: http://oa.upm.es/23282/
Identificador OAI: oai:oa.upm.es:23282
Identificador DOI: 10.3390/s140304536
URL Oficial: http://www.mdpi.com/1424-8220/14/3/4536/pdf
Depositado por: Memoria Investigacion
Depositado el: 06 May 2014 08:09
Ultima Modificación: 01 Mar 2016 13:18
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