Personalized Drug Administration to Patients with Parkinson’s Disease: Manipulating Sensor Generated Data in Android Environments

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dc.contributor.author Bravhar, Klemen
dc.contributor.author Juric, Radmila
dc.date.accessioned 2016-12-29T01:20:32Z
dc.date.available 2016-12-29T01:20:32Z
dc.date.issued 2017-01-04
dc.description.abstract This 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 patients.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.422
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41580
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Parkinson disease
dc.subject Android App
dc.subject optimization of drug treatment
dc.title Personalized Drug Administration to Patients with Parkinson’s Disease: Manipulating Sensor Generated Data in Android Environments
dc.type Conference Paper
dc.type.dcmi Text
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