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

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

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 journalJournal articleResearchpeer-review

Harvard

Rudå, D, Einarsson, G, Andersen, ASS, Matthiassen, JB, Correll, CU, Winge, K, Clemmensen, LKH, Paulsen, RR, Pagsberg, AK & Fink-Jensen, A 2021, 'Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study', Frontiers in Neurology, vol. 11, 610614. https://doi.org/10.3389/fneur.2020.610614

APA

Rudå, D., Einarsson, G., Andersen, A. S. S., Matthiassen, J. B., Correll, C. U., Winge, K., Clemmensen, L. K. H., Paulsen, R. R., Pagsberg, A. K., & Fink-Jensen, A. (2021). Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study. Frontiers in Neurology, 11, [610614]. https://doi.org/10.3389/fneur.2020.610614

Vancouver

Rudå D, Einarsson G, Andersen ASS, Matthiassen JB, Correll CU, Winge K et al. Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study. Frontiers in Neurology. 2021 Jan 6;11. 610614. https://doi.org/10.3389/fneur.2020.610614

Author

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. / Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor : A Feasibility Study. In: Frontiers in Neurology. 2021 ; Vol. 11.

Bibtex

@article{d88b367ef3ab4b4f8e2b97a63e580bd1,
title = "Exploring Movement Impairments in Patients With Parkinson's Disease Using the Microsoft Kinect Sensor: A Feasibility Study",
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.",
keywords = "computer assisted diagnosis, hypokinesia, movement disorder, Parkinson' s disease, technology",
author = "Ditte Rud{\aa} and Gudmundur Einarsson and Andersen, {Anne Sofie Schott} and Matthiassen, {Jannik Boll} and Correll, {Christoph U.} and Kristian Winge and Clemmensen, {Line K.H.} and Paulsen, {Rasmus R.} and Pagsberg, {Anne Katrine} and Anders Fink-Jensen",
note = "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: {\textcopyright} Copyright {\textcopyright} 2021 Rud{\aa}, Einarsson, Andersen, Matthiassen, Correll, Winge, Clemmensen, Paulsen, Pagsberg and Fink-Jensen.",
year = "2021",
month = jan,
day = "6",
doi = "10.3389/fneur.2020.610614",
language = "English",
volume = "11",
journal = "Frontiers in Neurology",
issn = "1664-2295",
publisher = "Frontiers Research Foundation",

}

RIS

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