Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform

Álvarez García, Federico ORCID: https://orcid.org/0000-0001-7400-9591, Popa, Mirela, Vetros, Nicholas, Belmonte Hernández, Alberto ORCID: https://orcid.org/0000-0002-4009-2662, Asteriadis, Stelios, Solachidis, Vassilis, Mariscal Cortes, Triana, Dotti, Dario and Daras, Petros (2017). Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform. En: "2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)", 29/08/2017 - 01/09/2017, Lecce (Italia). ISBN 978-1-5386-2939-0. pp. 404-415. https://doi.org/10.1109/AVSS.2017.8078527.

Descripción

Título: Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Fechas del Evento: 29/08/2017 - 01/09/2017
Lugar del Evento: Lecce (Italia)
Título del Libro: Proceedings of 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2017
Fecha: Octubre 2017
ISBN: 978-1-5386-2939-0
Materias:
ODS:
Palabras Clave Informales: Sensors, Trajectory, Monitoring, Wireless sensor networks, Dementia, Cameras, Biomedical monitoring
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[thumbnail of INVE_MEM_2017_276148.pdf]
Vista Previa
PDF (Portable Document Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (2MB) | Vista Previa

Resumen

The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or prevention of events related to their health situation. In this paper, we present a platform called ICT4LIFE which starting from low-level data capturing and performing multimodal fusion to extract relevant features, can perform high-level reasoning to provide relevant data on monitoring and evolution of the patient, and trigger proper actions for improving the quality of life of the patient.

Más información

ID de Registro: 50821
Identificador DC: https://oa.upm.es/50821/
Identificador OAI: oai:oa.upm.es:50821
Identificador DOI: 10.1109/AVSS.2017.8078527
URL Oficial: https://ieeexplore.ieee.org/document/8078527
Depositado por: Memoria Investigacion
Depositado el: 16 Oct 2018 14:51
Ultima Modificación: 04 Mar 2023 13:19