Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease
Fluctuations of motor symptoms make clinical assessment in Parkinson’s disease a complex task. New technologies aim to quantify motor symptoms, and their remote application holds potential for a closer monitoring of treatment effects. The focus of this study was to explore the potential of a steppin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/19/5465 |
| _version_ | 1797552827144339456 |
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| author | Karen Otte Tobias Ellermeyer Tim-Sebastian Vater Marlen Voigt Daniel Kroneberg Ludwig Rasche Theresa Krüger Hanna Maria Röhling Bastian Kayser Sebastian Mansow-Model Fabian Klostermann Alexander Ulrich Brandt Friedemann Paul Axel Lipp Tanja Schmitz-Hübsch |
| author_facet | Karen Otte Tobias Ellermeyer Tim-Sebastian Vater Marlen Voigt Daniel Kroneberg Ludwig Rasche Theresa Krüger Hanna Maria Röhling Bastian Kayser Sebastian Mansow-Model Fabian Klostermann Alexander Ulrich Brandt Friedemann Paul Axel Lipp Tanja Schmitz-Hübsch |
| author_sort | Karen Otte |
| collection | DOAJ |
| description | Fluctuations of motor symptoms make clinical assessment in Parkinson’s disease a complex task. New technologies aim to quantify motor symptoms, and their remote application holds potential for a closer monitoring of treatment effects. The focus of this study was to explore the potential of a stepping in place task using RGB-Depth (RGBD) camera technology to assess motor symptoms of people with Parkinson’s disease. In total, 25 persons performed a 40 s stepping in place task in front of a single RGBD camera (Kinect for Xbox One) in up to two different therapeutic states. Eight kinematic parameters were derived from knee movements to describe features of hypokinesia, asymmetry, and arrhythmicity of stepping. To explore their potential clinical utility, these parameters were analyzed for their Spearman’s Rho rank correlation to clinical ratings, and for intraindividual changes between treatment conditions using standard response mean and paired <i>t</i>-test. Test performance not only differed between ON and OFF treatment conditions, but showed moderate correlations to clinical ratings, specifically ratings of postural instability (pull test). Furthermore, the test elicited freezing in some subjects. Results suggest that this single standardized motor task is a promising candidate to assess an array of relevant motor symptoms of Parkinson’s disease. The simple technical test setup would allow future use by patients themselves. |
| first_indexed | 2024-03-10T16:06:31Z |
| format | Article |
| id | doaj.art-43fbdbb1effd42a38b33b840a8bd41ad |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T16:06:31Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-43fbdbb1effd42a38b33b840a8bd41ad2023-11-20T14:50:50ZengMDPI AGSensors1424-82202020-09-012019546510.3390/s20195465Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s DiseaseKaren Otte0Tobias Ellermeyer1Tim-Sebastian Vater2Marlen Voigt3Daniel Kroneberg4Ludwig Rasche5Theresa Krüger6Hanna Maria Röhling7Bastian Kayser8Sebastian Mansow-Model9Fabian Klostermann10Alexander Ulrich Brandt11Friedemann Paul12Axel Lipp13Tanja Schmitz-Hübsch14NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyExperimental and Clinical Research Center, Charité-Universitätsmedizin Berlin Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health and Max Delbrück Center for Molecular Medicine, 13125 Berlin, GermanyNeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyNeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyMotognosis GmbH, 10119 Berlin, GermanyMotognosis GmbH, 10119 Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyNeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyNeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyNeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, GermanyFluctuations of motor symptoms make clinical assessment in Parkinson’s disease a complex task. New technologies aim to quantify motor symptoms, and their remote application holds potential for a closer monitoring of treatment effects. The focus of this study was to explore the potential of a stepping in place task using RGB-Depth (RGBD) camera technology to assess motor symptoms of people with Parkinson’s disease. In total, 25 persons performed a 40 s stepping in place task in front of a single RGBD camera (Kinect for Xbox One) in up to two different therapeutic states. Eight kinematic parameters were derived from knee movements to describe features of hypokinesia, asymmetry, and arrhythmicity of stepping. To explore their potential clinical utility, these parameters were analyzed for their Spearman’s Rho rank correlation to clinical ratings, and for intraindividual changes between treatment conditions using standard response mean and paired <i>t</i>-test. Test performance not only differed between ON and OFF treatment conditions, but showed moderate correlations to clinical ratings, specifically ratings of postural instability (pull test). Furthermore, the test elicited freezing in some subjects. Results suggest that this single standardized motor task is a promising candidate to assess an array of relevant motor symptoms of Parkinson’s disease. The simple technical test setup would allow future use by patients themselves.https://www.mdpi.com/1424-8220/20/19/5465RGBD cameramovement analysisParkinson’s diseasepostural instability |
| spellingShingle | Karen Otte Tobias Ellermeyer Tim-Sebastian Vater Marlen Voigt Daniel Kroneberg Ludwig Rasche Theresa Krüger Hanna Maria Röhling Bastian Kayser Sebastian Mansow-Model Fabian Klostermann Alexander Ulrich Brandt Friedemann Paul Axel Lipp Tanja Schmitz-Hübsch Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease Sensors RGBD camera movement analysis Parkinson’s disease postural instability |
| title | Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease |
| title_full | Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease |
| title_fullStr | Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease |
| title_full_unstemmed | Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease |
| title_short | Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease |
| title_sort | instrumental assessment of stepping in place captures clinically relevant motor symptoms of parkinson s disease |
| topic | RGBD camera movement analysis Parkinson’s disease postural instability |
| url | https://www.mdpi.com/1424-8220/20/19/5465 |
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