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dc.contributor.authorCabestany Moncusí, Joan
dc.contributor.authorPérez López, Carlos
dc.contributor.authorSamà Monsonís, Albert
dc.contributor.authorMoreno Aróstegui, Juan Manuel
dc.contributor.authorBayes Rusiñol, Maria Ángels
dc.contributor.authorRodríguez Molinero, Alejandro
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.identifier.citationCabestany, 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.description.abstractREMPARK 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.format.extent6 p.
dc.publisherLodz University of Technology
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshArtificial intelligence -- Medical applications
dc.subject.otherON and OFF states automatic detection
dc.subject.otherParkinson disease
dc.subject.otherManagement and assessment of the disease
dc.subject.otherPersonal health device
dc.titleREMPARK: when AI and technology meet parkinson disease assessment
dc.typeConference report
dc.subject.lemacIntel·ligència artificial -- Aplicacions a la medicina
dc.contributor.groupUniversitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.contributor.groupUniversitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorCabestany, J.; Perez, C.; Sama, A.; Moreno, J.; Bayes, Á.; Rodríguez, A.
local.citation.contributorInternational Conference Mixed Design of Integrated Circuits and Systems
local.citation.publicationNameMixed design of integrated circuits and systems MIXDES 2013: proceedings of the 20th international conference: Gdynia, Poland: 20-22 June 2013

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