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Methods for detection of handwriting/drawing impairment using inputs from touch screens
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-2372-4226
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0003-0403-338X
2011 (English)In: Recent Patents on Signal Processing, ISSN 2210-6863, Vol. 1, no 2Article in journal (Refereed) Published
Abstract [en]

Fine motor dysfunction in patients with movement disorders, such as Parkinson’s disease, is characterized by slowness of movements, decrease of reaction time and involuntary movements. In this article, recent patents on detecting and assessing the said dysfunction are reviewed; their implementation in telemedicine settings, design considerations and ability to assist in dose and time adjustments are discussed. These patents explain application of signal processing techniques in analysis and interpretation of digitized handwriting/drawing information of individuals based on data gathered using touch screens. The study reveals that measures concerning forces, accelerations and radial displacements are the most relevant measurements to detect fine movement anomalies. These findings demonstrate that digitized analysis of handwriting/drawing movements may be useful in clinical trials evaluating fine motor control. This review further depicts the role of employing event-based data acquisition and signal processing techniques suitable for nonstationary signals, such as Wavelet transform, in systems for patient home-monitoring.

Place, publisher, year, edition, pages
Netherlands: Bentham Science , 2011. Vol. 1, no 2
Keyword [en]
Drawing, fine motor impairment, Fourier transform, handwriting, home monitoring, Parkinson’s disease, touch screens, Wavelet transform
Research subject
Komplexa system - mikrodataanalys, E-MOTIONS, Beslutsstöd för Parkinsonbehandling
Identifiers
URN: urn:nbn:se:du-5743OAI: oai:dalea.du.se:5743DiVA: diva2:520403
Available from: 2011-08-30 Created: 2011-08-30 Last updated: 2015-06-12Bibliographically approved

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Citation style
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