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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.date.accessioned2013-10-25T13:46:13Z
dc.date.created2013
dc.date.issued2013
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.identifier.isbn978-83-63578-01-5
dc.identifier.urihttp://hdl.handle.net/2117/20468
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.language.isoeng
dc.publisherLodz University of Technology
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
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.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/abstractKeywords.jsp?arnumber=6613416
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac12762773
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
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.pubplaceGdynia
local.citation.publicationNameMixed design of integrated circuits and systems MIXDES 2013: proceedings of the 20th international conference: Gdynia, Poland: 20-22 June 2013
local.citation.startingPage562
local.citation.endingPage567


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