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用于类风湿性关节炎手部运动特征描述的基于光学和雷达的运动捕捉技术评估——一项初步研究

Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis-A Pilot Study.

作者信息

Phutane Uday, Liphardt Anna-Maria, Bräunig Johanna, Penner Johann, Klebl Michael, Tascilar Koray, Vossiek Martin, Kleyer Arnd, Schett Georg, Leyendecker Sigrid

机构信息

Chair of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany.

Department of Internal Medicine 3-Rheumatology and Immunology, University Hospital Erlangen, FAU, 91054 Erlangen, Germany.

出版信息

Sensors (Basel). 2021 Feb 9;21(4):1208. doi: 10.3390/s21041208.

DOI:10.3390/s21041208
PMID:33572273
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7914794/
Abstract

In light of the state-of-the-art treatment options for patients with rheumatoid arthritis (RA), a detailed and early quantification and detection of impaired hand function is desirable to allow personalized treatment regiments and amend currently used subjective patient reported outcome measures. This is the motivation to apply and adapt modern measurement technologies to quantify, assess and analyze human hand movement using a marker-based optoelectronic measurement system (OMS), which has been widely used to measure human motion. We complement these recordings with data from markerless (Doppler radar) sensors and data from both sensor technologies are integrated with clinical outcomes of hand function. The technologies are leveraged to identify hand movement characteristics in RA affected patients in comparison to healthy control subjects, while performing functional tests, such as the Moberg-Picking-Up Test. The results presented discuss the experimental framework and present the limiting factors imposed by the use of marker-based measurements on hand function. The comparison of simple finger motion data, collected by the OMS, to data recorded by a simple continuous wave radar suggests that radar is a promising option for the objective assessment of hand function. Overall, the broad scope of integrating two measurement technologies with traditional clinical tests shows promising potential for developing new pathways in understanding of the role of functional outcomes for the RA pathology.

摘要

鉴于类风湿性关节炎(RA)患者的现有治疗方案,对手部功能受损进行详细且早期的量化和检测有助于制定个性化治疗方案,并改进目前使用的患者主观报告结局指标。这就是应用和调整现代测量技术,使用基于标记的光电测量系统(OMS)来量化、评估和分析人类手部运动的动机,该系统已被广泛用于测量人体运动。我们用无标记(多普勒雷达)传感器的数据补充这些记录,并将两种传感器技术的数据与手部功能的临床结果相结合。利用这些技术,在进行诸如莫伯格拾物试验等功能测试时,对比健康对照受试者,识别RA患者的手部运动特征。所呈现的结果讨论了实验框架,并指出了基于标记的测量对手部功能的限制因素。将OMS收集的简单手指运动数据与简单连续波雷达记录的数据进行比较表明,雷达是客观评估手部功能的一个有前景的选择。总体而言,将两种测量技术与传统临床试验相结合的广泛应用,在开发理解功能结局在RA病理中的作用的新途径方面显示出了有前景的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/6d0c4342f919/sensors-21-01208-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/174ac5438dc8/sensors-21-01208-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/dd7e15f4ce15/sensors-21-01208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/cec155cb65b0/sensors-21-01208-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/76812a271c34/sensors-21-01208-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/811367db08eb/sensors-21-01208-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/8145a07ec1a0/sensors-21-01208-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/6d0c4342f919/sensors-21-01208-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/174ac5438dc8/sensors-21-01208-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/32c9981eaf4c/sensors-21-01208-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/dd7e15f4ce15/sensors-21-01208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/cec155cb65b0/sensors-21-01208-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/76812a271c34/sensors-21-01208-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/811367db08eb/sensors-21-01208-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/8145a07ec1a0/sensors-21-01208-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6a/7914794/6d0c4342f919/sensors-21-01208-g008.jpg

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