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Methods for detection of handwriting/drawing impairment using inputs from touch screens
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-2372-4226
Academy of Industry and Society, Computer Engineering, Dalarna University, Borlänge, Sweden.
2011 (English)In: Recent Patents on Signal Processing, ISSN 1877-6124, Vol. 1, no 2, p. 156-162Article 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
Bussum: Bentham Science Publishers , 2011. Vol. 1, no 2, p. 156-162
Keywords [en]
Drawing, fine motor impairment, Fourier transform, handwriting, home monitoring, Parkinson’s disease, touch screens, Wavelet transform
National Category
Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:oru:diva-20463DOI: 10.2174/2210686311101020156OAI: oai:DiVA.org:oru-20463DiVA, id: diva2:461205
Available from: 2011-12-02 Created: 2011-12-02 Last updated: 2018-02-15Bibliographically approved
In thesis
1. Mobile systems for monitoring Parkinson's disease
Open this publication in new window or tab >>Mobile systems for monitoring Parkinson's disease
2011 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis presents the development and evaluation of IT-based methods and systems for supporting assessment of symptoms and enabling remote monitoring of Parkinson‟s disease (PD) patients. PD is a common neurological disorder associated with impaired body movements. Its clinical management regarding treatment outcomes and follow-up of patients is complex. In order to reveal the full extent of a patient‟s condition, there is a need for repeated and time-stamped assessments related to both patient‟s perception towards common symptoms and motor function. In this thesis, data from a mobile device test battery, collected during a three year clinical study, was used for the development and evaluation of methods. The data was gathered from a series of tests, consisting of selfassessments and motor tests (tapping and spiral drawing). These tests were carried out repeatedly in a telemedicine setting during week-long test periods. One objective was to develop a computer method that would process tracedspiral drawings and generate a score representing PD-related drawing impairments. The data processing part consisted of using the discrete wavelet transform and principal component analysis. When this computer method was evaluated against human clinical ratings, the results showed that it could perform quantitative assessments of drawing impairment in spirals comparatively well. As a part of this objective, a review of systems and methods for detecting the handwriting and drawing impairment using touch screens was performed. The review showed that measures concerning forces, accelerations, and radial displacements were the most important ones in detecting fine motor movement anomalies. Another objective of this thesis work was to design and evaluate an information system for delivering assessment support information to the treating clinical staff for monitoring PD symptoms in their patients. The system consisted of a patient node for data collection based on the mobile device test battery, a service node for data storage and processing, and a web application for data presentation. A system module was designed for compiling the test battery time series into summary scores on a test period level. The web application allowed adequate graphic feedback of the summary scores to the treating clinical staff. The evaluation results for this integrated system indicate that it can be used as a tool for frequent PD symptom assessments in home environments.

Place, publisher, year, edition, pages
Örebro: Örebro universitet, 2011. p. 56
Series
Örebro Studies in Technology, ISSN 1650-8580 ; 22
Keywords
Home assessments, Parkinson‟s disease, mobile computing technology, e-diary, discrete wavelet transform, principal component analysis
National Category
Computer and Information Sciences
Research subject
Information technology
Identifiers
urn:nbn:se:oru:diva-20552 (URN)
Presentation
2011-12-15, Örebro universitet, Teknikhuset, rum T131, Fakultetsgatan1, Örebro, 13:15 (English)
Opponent
Supervisors
Available from: 2011-12-12 Created: 2011-12-12 Last updated: 2018-01-12Bibliographically approved

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