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dc.contributor.authorBravhar, Klemen
dc.contributor.authorJuric, Radmila
dc.date.accessioned2018-02-22T10:16:40Z
dc.date.available2018-02-22T10:16:40Z
dc.date.created2017-09-21T13:53:22Z
dc.date.issued2017
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/11250/2486362
dc.description.abstractThis paper illustrates the application of mobile and wireless technologies for estimating the severity of Parkinson Disease symptoms, and performing a personalized drug administration to PD patients. The measurements of patient finger pressures on the screen of a smart phone, translated into analogue voltage and digital bits, are taken by an Android App. The computations performed through Fast Fourier Transformations (FFT) and Reaction and Movement time, enable the calculation of the severity of the PD symptoms, which results in an appropriate drug administration for that patient, at the moment when the measurement of patient finger pressures is taken. The novelty of this research is twofold. It allows a high level of personalization in PD treatment and uses modern technologies to bring new solutions in the field of drug administration to PD patientsnb_NO
dc.language.isoengnb_NO
dc.relation.ispartofProceedings of the 50th Hawaii International Conference on System Sciences, HICSS 2017
dc.relation.urihttp://hdl.handle.net/10125/41580
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titlePersonalizing Drug Administration to Patients with Parkinson’s Disease: Manipulating Sensor Generated Data in Android Environmentsnb_NO
dc.typeChapternb_NO
dc.typeConference objectnb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber3489-3498nb_NO
dc.identifier.cristin1496510
cristin.unitcode222,58,6,0
cristin.unitnameInstitutt for realfag og industrisystemer
cristin.ispublishedtrue
cristin.fulltextoriginal


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal