Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study
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Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor : A Feasibility Study. / Rudå, Ditte; Einarsson, Gudmundur; Andersen, Anne Sofie Schott; Matthiassen, Jannik Boll; Correll, Christoph U.; Winge, Kristian; Clemmensen, Line K.H.; Paulsen, Rasmus R.; Pagsberg, Anne Katrine; Fink-Jensen, Anders.
In: Frontiers in Neurology, Vol. 11, 610614, 06.01.2021.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor
T2 - A Feasibility Study
AU - Rudå, Ditte
AU - Einarsson, Gudmundur
AU - Andersen, Anne Sofie Schott
AU - Matthiassen, Jannik Boll
AU - Correll, Christoph U.
AU - Winge, Kristian
AU - Clemmensen, Line K.H.
AU - Paulsen, Rasmus R.
AU - Pagsberg, Anne Katrine
AU - Fink-Jensen, Anders
N1 - Funding Information: The study has received grants from The Capital Region of Denmark, Research Fund for Health Promotion and The Capital Region of Denmark, Mental Health Services Research Fund. Gudmundur Einarsson was partly funded by a research grant from the Lundbeck Foundation. Publisher Copyright: © Copyright © 2021 Rudå, Einarsson, Andersen, Matthiassen, Correll, Winge, Clemmensen, Paulsen, Pagsberg and Fink-Jensen.
PY - 2021/1/6
Y1 - 2021/1/6
N2 - 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.
AB - 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.
KW - computer assisted diagnosis
KW - hypokinesia
KW - movement disorder
KW - Parkinson' s disease
KW - technology
U2 - 10.3389/fneur.2020.610614
DO - 10.3389/fneur.2020.610614
M3 - Journal article
C2 - 33488503
AN - SCOPUS:85099727942
VL - 11
JO - Frontiers in Neurology
JF - Frontiers in Neurology
SN - 1664-2295
M1 - 610614
ER -
ID: 282476365