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dc.contributor.authorKostikis, N-
dc.contributor.authorHristu-Varsakelis, Dimitrios-
dc.contributor.authorArnaoutoglou, M-
dc.contributor.authorKotsavasiloglou, C-
dc.contributor.authorBaloyiannis, S-
dc.date.accessioned2019-10-30T18:27:21Z-
dc.date.available2019-10-30T18:27:21Z-
dc.date.issued2011-
dc.identifier10.1109/IEMBS.2011.6091296en_US
dc.identifier.isbn978-1-4577-1589-1en_US
dc.identifier.isbn978-1-4244-4121-1en_US
dc.identifier.isbn978-1-4244-4122-8en_US
dc.identifier.issn1557-170Xen_US
dc.identifier.urihttps://doi.org/10.1109/IEMBS.2011.6091296en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/354-
dc.description.abstractRecent advances in mobile phone technology have placed an impressive array of sensing and communication equipment at the hands of an ever-growing number of people. One of the areas which can potentially be transformed by the availability of what is essentially a cheap, ubiquitous networked sensor, is that of remote diagnosis of movement disorders, such as Parkinson's disease. This work describes a smartphone-based method for detecting and quantifying the hand tremor associated with movement disorders using signals from the accelerometer and gyroscope embedded in the patient's phone. Our approach is web-based and user-friendly, requiring minimal user interaction. In clinical experiments with twenty subjects, we found that by combining both accelerometer and gyroscope signals, we were able to correctly identify those with hand tremor, using very simple signal metrics.en_US
dc.language.isoenen_US
dc.subjectFRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineeringen_US
dc.subject.meshActigraphyen_US
dc.subject.meshDiagnosis, Computer-Assisteden_US
dc.subject.meshEquipment Designen_US
dc.subject.meshEquipment Failure Analysisen_US
dc.subject.meshHumansen_US
dc.subject.meshMonitoring, Ambulatoryen_US
dc.subject.meshMovement Disordersen_US
dc.subject.meshReproducibility of Resultsen_US
dc.subject.meshSensitivity and Specificityen_US
dc.subject.meshTelemedicineen_US
dc.subject.meshAccelerationen_US
dc.subject.meshCell Phoneen_US
dc.titleTowards remote evaluation of movement disorders via smartphonesen_US
dc.typeConference Paperen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume2011en_US
local.identifier.firstpage5240en_US
local.identifier.lastpage5243en_US
local.identifier.volumetitle2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Societyen_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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