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Smartphone application for quantitative measurement of Parkinson tremors
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. Simon Bolivar University, Venezuela.ORCID iD: 0000-0001-9362-0644
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2015 (English)In: IFMBE Proceedings, Springer, 2015, 785-788 p.Conference paper (Refereed)
Abstract [en]

One of the most common concerns in the atten-tion of patients with Parkinson's disease is an objectively eval-uation of the illness progress and the efficacy of treatments, in terms of the intensity and frequency of tremors. This symptom is produced by gradual degradation of the pigmented neurons located at the substantia nigra in the brain, in order to detect such movement levels. This paper proposes a Smartphone application for a quantitative detection, measurement and analysis of the Parkinson's tremor, due to the global use of Smartphones and the affordable cost of some Android plat-form devices. The subjects of this working project are those people who suffer from Parkinson's disease, who could down-load the application to their mobile phone in order to measure quantitatively the intensity and duration of their tremors, in any place, to send reports by email or to record them for a later use. The application enables the remote monitoring of the patients.

Place, publisher, year, edition, pages
Springer, 2015. 785-788 p.
, IFMBE Proceedings, ISSN 1680-0737 ; 49
Keyword [en]
Accelerometers sensors, Parkinson’s disease, Smartphone, Tremor detec-tion, Biomedical engineering, Neurodegenerative diseases, Remote patient monitoring, Signal encoding, Smartphones, Gradual degradation, Measurement and analysis, Parkinson's disease, Quantitative detection, Quantitative measurement, Remote monitoring, Smart-phone applications, Diseases
National Category
Computer and Information Science Medical Engineering
URN: urn:nbn:se:kth:diva-167411DOI: 10.1007/978-3-319-13117-7_200ISI: 000363767200199ScopusID: 2-s2.0-84925235609ISBN: 9783319131160OAI: diva2:813357
6th Latin American Congress on Biomedical Engineering, CLAIB 2014, 29 October 2014 through 31 October 2014

QC 20150522

Available from: 2015-05-22 Created: 2015-05-22 Last updated: 2015-11-30Bibliographically approved

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Marzinotto, Alejandro
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Computer Vision and Active Perception, CVAP
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