Detection and Analysis of Tremor Using a System Based on Smart Device and NoSQL Database

Zheng, Xiaochen y Ordieres Meré, Joaquín Bienvenido (2015). Detection and Analysis of Tremor Using a System Based on Smart Device and NoSQL Database. En: "6th International Conference on Industrial Engineering and Systems Management (IESM)", October 21-23, 2015, Seville (Spain). ISBN 978-2-9600532-6-5. pp. 242-249.

Descripción

Título: Detection and Analysis of Tremor Using a System Based on Smart Device and NoSQL Database
Autor/es:
  • Zheng, Xiaochen
  • Ordieres Meré, Joaquín Bienvenido
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 6th International Conference on Industrial Engineering and Systems Management (IESM)
Fechas del Evento: October 21-23, 2015
Lugar del Evento: Seville (Spain)
Título del Libro: Proceedings of 2015 International Conference on Industrial Engineering and Systems Management (IESM)
Fecha: Noviembre 2015
ISBN: 978-2-9600532-6-5
Materias:
Palabras Clave Informales: essential Tremor, NoSQL database,Parkinson's disease, accelerometer, smart device, tremor
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Tremor is the most common symptoms of Parkinson?s Disease (PD) and Essential Tremor (ET). Its detection and analysis during daily living plays a crucial role in the treatment of PD and ET patients. It is typically assessed in the clinic with certain tremor rating scales, which are qualitative, subjectdependent and do not necessarily reflect the real situation of the patient. In this paper, a system composed of a smartwatch, a smartphone and a NoSQL database sever is used to monitor the movements of the patients. A novel data analysis method is proposed to detect tremor and identify the connected actions. Tremor can be detected on the basis of the movement frequency difference and voluntary actions can also be recognized based on the rich information from the collected data. It helps clinicians to analyze the relationship between the tremor and a certain action. A series of simulated experiments are conducted to demonstrate the feasibility of the proposed system and data analysis method. The result shows that tremor happened during different situations can be detected with an adequate accuracy with the data collected by the proposed system. The actions around the tremor can also be identified.

Más información

ID de Registro: 41804
Identificador DC: http://oa.upm.es/41804/
Identificador OAI: oai:oa.upm.es:41804
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7380165&tag=1
Depositado por: Memoria Investigacion
Depositado el: 08 Jul 2016 11:16
Ultima Modificación: 08 Jul 2016 11:16
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