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dc.contributor.authorLópez Blanco, Roberto
dc.contributor.authorVelasco, Miguel A.
dc.contributor.authorMéndez Guerrero, Antonio
dc.contributor.authorRomero Muñoz, Juan Pablo 
dc.contributor.authorDel Castillo, María Dolores
dc.contributor.authorSerrano, J. Ignacio
dc.contributor.authorRocon, Eduardo
dc.contributor.authorBenito León, Julián
dc.date.accessioned2019-09-10T11:20:20Z
dc.date.available2019-09-10T11:20:20Z
dc.date.issued2019
dc.identifier.issn0022-510Xspa
dc.identifier.urihttp://hdl.handle.net/10641/1675
dc.description.abstractWearable technology used in Parkinson's disease (PD) research has become an increasing focus of interest in this field. Our group assessed the feasibility, clinical correlation, reliability, and acceptance of smartwatches in order to quantify arm resting tremors in PD patients. An Android application on a smartwatch was used to obtain raw data from the smartwatch's gyroscopes. Twenty-two PD patients were consecutively recruited and followed for 1year. Arm rest tremors were video filmed and scored by two independent raters using the motor subscale of the Unified Parkinson's Disease Rating Scale (UPDRS-III). The tremor intensity parameter was defined by the root mean square of the angular speed measured by the smartwatch at the wrist. Sixty-four smartwatch evaluations were completed. The Spearman coefficient among the mean of the resting tremor (UPDRS-III) scores and smartwatch measurements for tremor intensity was 0.81 (p<.001); smartwatch reliability to quantify tremors was checked by intraclass reliability coefficient with a resting tremor=0.89, minimum detectable change=59.03%. Good acceptance of the system was shown. Smartwatch use for PD tremor analysis is possible, reliable, well-correlated with clinical scores, and well-accepted by patients for clinical follow-up. The results from these experiments suggest that this commodity hardware has the potential to quantify PD patients' tremors objectively in a consulting-room.spa
dc.language.isoengspa
dc.publisherJournal of the Neurological Sciencesspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectParkinson's diseasespa
dc.subjectTremor transductorspa
dc.subjectTremor quantificationspa
dc.subjectSmartphonespa
dc.subjectSmartwatchspa
dc.titleSmartwatch for the analysis of rest tremor in patients with Parkinson's disease.spa
dc.typearticlespa
dc.description.versionpre-printspa
dc.rights.accessRightsembargoedAccessspa
dc.identifier.doi10.1016/j.jns.2019.04.011spa


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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España