Automatic real-time monitoring and assessment of tremor parameters in the upper limb from orientation data

Lambrecht, Stefan; Gallego Juárez, Juan Antonio; Rocón de Lima, Eduardo y Pons Rovira, José Luis (2014). Automatic real-time monitoring and assessment of tremor parameters in the upper limb from orientation data. "Frontiers in Neursocience", v. 8 (n. 221); pp. 1-9. ISSN 1662-4548. https://doi.org/10.3389/fnins.2014.00221.

Descripción

Título: Automatic real-time monitoring and assessment of tremor parameters in the upper limb from orientation data
Autor/es:
  • Lambrecht, Stefan
  • Gallego Juárez, Juan Antonio
  • Rocón de Lima, Eduardo
  • Pons Rovira, José Luis
Tipo de Documento: Artículo
Título de Revista/Publicación: Frontiers in Neursocience
Fecha: 24 Julio 2014
Volumen: 8
Materias:
Palabras Clave Informales: tremor, MEMS, sensor location, context awareness, real-time estimation
Escuela: Centro de Automática y Robótica (CAR) UPM-CSIC
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Upper limb tremor is the most prevalent movement disorder and, unfortunately, it is not effectively managed in a large proportion of the patients. Neuroprostheses that stimulate the sensorimotor pathways are one of the most promising alternatives although they are still under development. To enrich the interpretation of data recorded during long-term tremor monitoring and to increase the intelligence of tremor suppression neuroprostheses we need to be aware of the context. Context awareness is a major challenge for neuroprostheses and would allow these devices to react more quickly and appropriately to the changing demands of the user and/or task. Traditionally kinematic features are used to extract context information, with most recently the use of joint angles as highly potential features. In this paper we present two algorithms that enable the robust extraction of joint angle and related features to enable long-term continuous monitoring of tremor with context awareness. First, we describe a novel relative sensor placement identification technique based on orientation data. We focus on relative rather than absolute sensor location, because in many medical applications magnetic and inertial measurement units (MIMU) are used in a chain stretching over adjacent segments, or are always placed on a fixed set of locations. Subsequently we demonstrate how tremor parameters can be extracted from orientation data using an adaptive estimation algorithm. Relative sensor location was detected with an accuracy of 94.12% for the 4 MIMU configuration, and 100% for the 3 MIMU configurations. Kinematic tracking error values with an average deviation of 8% demonstrate our ability to estimate tremor from orientation data. The methods presented in this study constitute an important step toward more user-friendly and context-aware neuroprostheses for tremor suppression and monitoring.

Proyectos asociados

TipoCódigoAcrónimoResponsableTítulo
FP7ICT-2011.5.1-287739NeuroTremorSin especificarSin especificar
Gobierno de EspañaCSD2009-00067HYPERSin especificarSin especificar

Más información

ID de Registro: 38719
Identificador DC: http://oa.upm.es/38719/
Identificador OAI: oai:oa.upm.es:38719
Identificador DOI [BETA]: 10.3389/fnins.2014.00221
URL Oficial: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110507/
Depositado por: Memoria Investigacion
Depositado el: 01 Abr 2017 10:11
Ultima Modificación: 01 Abr 2017 10:11
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