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Automatic and Objective Assessment of Alternating Tapping Performance in Parkinson’s Disease
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Dalarna University.
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation. (IS)
Uppsala University.
Dalarna University.
2013 (English)In: Sensors, ISSN 1424-8220, Vol. 13, no 12, 16965-16984 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents the development and evaluation of a method for enabling quantitative and automatic scoring of alternating tapping performance of patients with Parkinson’s disease (PD). Ten healthy elderly subjects and 95 patients in different clinical stages of PD have utilized a touch-pad handheld computer to perform alternate tapping tests in their home environments. First, a neurologist used a web-based system to visually assess impairments in four tapping dimensions (‘speed’, ‘accuracy’, ‘fatigue’ and ‘arrhythmia’) and a global tapping severity (GTS). Second, tapping signals were processed with time series analysis and statistical methods to derive 24 quantitative parameters. Third, principal component analysis was used to reduce the dimensions of these parameters and to obtain scores for the four dimensions. Finally, a logistic regression classifier was trained using a 10-fold stratified cross-validation to map the reduced parameters to the corresponding visually assessed GTS scores. Results showed that the computed scores correlated well to visually assessed scores and were significantly different across Unified Parkinson’s Disease Rating Scale scores of upper limb motor performance. In addition, they had good internal consistency, had good ability to discriminate between healthy elderly and patients in different disease stages, had good sensitivity to treatment interventions and could reflect the natural disease progression over time. In conclusion, the automatic method can be useful to objectively assess the tapping performance of PD patients and can be included in telemedicine tools for remote monitoring of tapping.

Place, publisher, year, edition, pages
Switzerland: MDPI , 2013. Vol. 13, no 12, 16965-16984 p.
Keyword [en]
alternating tapping, touch-pad, handheld computer, telemedicine, Parkinson?s disease, remote monitoring, automatic assessment, objective assessment, visual assessment
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-23609DOI: 10.3390/s131216965ISI: 000330220600061Scopus ID: 2-s2.0-84890107007OAI: oai:DiVA.org:mdh-23609DiVA: diva2:679523
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Available from: 2013-12-16 Created: 2013-12-16 Last updated: 2015-07-15Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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More languages
Output format
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  • asciidoc
  • rtf