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使用微软Kinect传感器探索帕金森病患者的运动障碍:一项可行性研究。

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

作者信息

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

机构信息

Child and Adolescent Mental Health Center, Mental Health Services - Capital Region of Denmark & Faculty of Health Science University of Copenhagen, Copenhagen, Denmark.

Section for Image Analysis and Computer Graphics, DTU Compute, Technical University of Denmark, Copenhagen, Denmark.

出版信息

Front Neurol. 2021 Jan 6;11:610614. doi: 10.3389/fneur.2020.610614. eCollection 2020.

Abstract

Current assessments of motor symptoms in Parkinson's disease are often limited to clinical rating scales. To develop a computer application using the Microsoft Kinect sensor to assess performance-related bradykinesia. The developed application () 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. Thirty patients with Parkinson's disease and 33 healthy controls were assessed. In the patient group, there was a statistically significant ( < 0.05) association between prolonged time of motor performance in the and upper body rigidity and bradykinesia (MDS-UPDRS) with the strongest effects in the right hand ( < 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 ( < 0.05). A shortened time of motor performance was significantly associated with higher scores on information processing ( < 0.05). Time of motor performance was not significantly associated with Token Motor Task, duration of illness, or hours of daily physical activity. The was well-accepted. In the present feasibility study the 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.

摘要

目前对帕金森病运动症状的评估通常局限于临床评分量表。为开发一种使用微软Kinect传感器的计算机应用程序来评估与运动表现相关的运动迟缓。所开发的应用程序()在帕金森病患者和健康对照者中进行了测试。参与者使用运动障碍协会统一帕金森病评定量表(MDS-UPDRS)和标准化临床副作用评定量表,即UKU副作用评定量表和辛普森-安格斯量表进行评估。此外,还应用了信息处理测试(符号编码任务)和运动速度测试(代币运动任务)以及一份问卷。对30名帕金森病患者和33名健康对照者进行了评估。在患者组中,[具体应用程序名称]中运动表现时间延长与上身僵硬和运动迟缓(MDS-UPDRS)之间存在统计学显著关联(<0.05),右手的影响最为显著(<0.001)。在整个组中,运动表现时间延长与较高的辛普森-安格斯量表僵硬评分和较高的UKU运动减少评分显著相关(<0.05)。运动表现时间缩短与信息处理得分较高显著相关(<0.05)。运动表现时间与代币运动任务、病程或每日体育活动时长无显著关联。[具体应用程序名称]被广泛接受。在本可行性研究中,[具体应用程序名称]能够以统计学显著且临床有意义的方式检测帕金森病常见运动症状,使其适用于在更大样本中进行进一步测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0639/7815696/6ef092e09054/fneur-11-610614-g0001.jpg

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