Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41580

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

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Title: Personalized Drug Administration to Patients with Parkinson’s Disease: Manipulating Sensor Generated Data in Android Environments
Authors: Bravhar, Klemen
Juric, Radmila
Keywords: Parkinson disease
Android App
optimization of drug treatment
Issue Date: 04 Jan 2017
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.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41580
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.422
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:IT Architectures and Implementations in Healthcare Environments Minitrack



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