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dc.contributor.authorKostikis, N-
dc.contributor.authorHristu-Varsakelis, Dimitrios-
dc.contributor.authorArnaoutoglou, M-
dc.contributor.authorKotsavasiloglou, C-
dc.date.accessioned2019-10-30T18:25:48Z-
dc.date.available2019-10-30T18:25:48Z-
dc.date.issued2014-
dc.identifier10.1109/EMBC.2014.6943738en_US
dc.identifier.isbn978-1-4244-7929-0en_US
dc.identifier.issn1557-170Xen_US
dc.identifier.urihttps://doi.org/10.1109/EMBC.2014.6943738en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/353-
dc.description.abstractWith an ever-growing number of technologically advanced methods for the diagnosis and quantification of movement disorders, comes the need to assess their accuracy and see how they match up with widely used standard clinical assessment tools. This work compares quantitative measurements of hand tremor in twenty-three Parkinson's disease patients, with their clinical scores in the hand tremor components of the Unified Parkinson's Disease Rating Scale (UPDRS), which is considered the "gold standard" in the clinical assessment of the disease. Our measurements were obtained using a smartphone-based platform, which processes the phone's accelerometer and gyroscope signals to detect and measure hand tremor. The signal metrics used were mainly based on the magnitude of the acceleration and the rotation rate vectors of the device. Our results suggest relatively strong correlation (r>0.7 and p<;0.01) between the patients' UPDRS hand tremor scores and the signal metrics applied to the measured signals.en_US
dc.language.isoenen_US
dc.subjectFRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineeringen_US
dc.subject.meshAccelerometryen_US
dc.subject.meshHanden_US
dc.subject.meshHumansen_US
dc.subject.meshParkinson Diseaseen_US
dc.subject.meshSeverity of Illness Indexen_US
dc.subject.meshTremoren_US
dc.subject.meshSmartphoneen_US
dc.titleSmartphone-based evaluation of parkinsonian hand tremor: quantitative measurements vs clinical assessment scoresen_US
dc.typeConference Paperen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume2014en_US
local.identifier.firstpage906en_US
local.identifier.lastpage909en_US
local.identifier.volumetitle2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Societyen_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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