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REMPARK: when AI and technology meet parkinson disease assessment
Cabestany Moncusí, Joan; Pérez López, Carlos; Samà Monsonís, Albert; Moreno Aróstegui, Juan Manuel; Bayes, Ángels; Rodríguez Molinero, Alejandro
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades; Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
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.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Artificial intelligence -- Medical applications
ON and OFF states automatic detection
Parkinson disease
Management and assessment of the disease
Personal health device
Intel·ligència artificial -- Aplicacions a la medicina
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Lodz University of Technology
         

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