REMPARK: when AI and technology meet parkinson disease assessment

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/20468

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.contributor	Universitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.contributor	Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.contributor.author	Cabestany Moncusí, Joan
dc.contributor.author	Pérez López, Carlos
dc.contributor.author	Samà Monsonís, Albert
dc.contributor.author	Moreno Aróstegui, Juan Manuel
dc.contributor.author	Bayes Rusiñol, Maria Ángels
dc.contributor.author	Rodríguez Molinero, Alejandro
dc.date	2013
dc.identifier.citation	Cabestany, J. [et al.]. REMPARK: when AI and technology meet parkinson disease assessment. A: International Conference Mixed Design of Integrated Circuits and Systems. "Mixed design of integrated circuits and systems MIXDES 2013: proceedings of the 20th international conference: Gdynia, Poland: 20-22 June 2013". Gdynia: Lodz University of Technology, 2013, p. 562-567.
dc.identifier.citation	978-83-63578-01-5
dc.identifier.uri	http://hdl.handle.net/2117/20468
dc.language.iso	eng
dc.publisher	Lodz University of Technology
dc.relation	http://ieeexplore.ieee.org/xpl/abstractKeywords.jsp?arnumber=6613416
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject	Artificial intelligence -- Medical applications
dc.subject	ON and OFF states automatic detection
dc.subject	Parkinson disease
dc.subject	Management and assessment of the disease
dc.subject	Personal health device
dc.subject	Intel·ligència artificial -- Aplicacions a la medicina
dc.title	REMPARK: when AI and technology meet parkinson disease assessment
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	REMPARK project objective is to develop a personal health system with closed loop detection, response and action capabilities for the assessment and possible management of Parkinson's Disease (PD) patients. The project is developing a wearable monitoring system able to identify in real time the motor status of the PD patients and evaluating ON/OFF/Dyskinesia status with a very high sensitivity and specificity degree (>80%) in operation during ambulatory conditions. Identification of the motor status is based on the knowledge included in a large database obtained with the collaboration of a number of volunteer PD patients, according a specific defined protocol in ambulatory conditions. Artificial Intelligence (AI) methods are applied to the database information for the automatic detection of motor symptoms.
dc.description.abstract	Peer Reviewed

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