Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study

Ditte Rudå*, Gudmundur Einarsson, Anne Sofie Schott Andersen, Jannik Boll Matthiassen, Christoph U. Correll, Kristian Winge, Line Katrine Harder Clemmensen, Rasmus Reinhold Paulsen, Anne Katrine Pagsberg, Anders Fink-Jensen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Background: Current assessments of motor symptoms in Parkinson's disease are often limited to clinical rating scales.Objectives: To develop a computer application using the Microsoft Kinect sensor to assess performance-related bradykinesia.Methods: The developed application (Motorgame) was tested in patients with Parkinson's disease and healthy controls. Participants were assessed with the Movement Disorder Society Unified Parkinson's disease Rating Scale (MDS-UPDRS) and standardized clinical side effect rating scales, i.e., UKU Side Effect Rating Scale and Simpson-Angus Scale. Additionally, tests of information processing (Symbol Coding Task) and motor speed (Token Motor Task), together with a questionnaire, were applied.Results: Thirty patients with Parkinson's disease and 33 healthy controls were assessed. In the patient group, there was a statistically significant (p < 0.05) association between prolonged time of motor performance in the Motorgame and upper body rigidity and bradykinesia (MDS-UPDRS) with the strongest effects in the right hand (p < 0.001). In the entire group, prolonged time of motor performance was significantly associated with higher Simson-Angus scale rigidity score and higher UKU hypokinesia scores (p < 0.05). A shortened time of motor performance was significantly associated with higher scores on information processing (p < 0.05). Time of motor performance was not significantly associated with Token Motor Task, duration of illness, or hours of daily physical activity. The Motorgame was well-accepted.Conclusions: In the present feasibility study the Motorgame was able to detect common motor symptoms in Parkinson's disease in a statistically significant and clinically meaningful way, making it applicable for further testing in larger samples.
Original languageEnglish
Article number610614
JournalFrontiers in Neurology
Volume11
Number of pages9
ISSN1664-2295
DOIs
Publication statusPublished - 2021

Keywords

  • Parkinson’ s disease
  • Hypokinesia
  • Movement disorder
  • Technology
  • Computer assisted diagnosis

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