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使用惯性和力传感器量化帕金森病的手部运动症状:原理验证研究。

Quantification of Hand Motor Symptoms in Parkinson's Disease: A Proof-of-Principle Study Using Inertial and Force Sensors.

机构信息

Biomedical Signals and Systems Group, MIRA Research Institute for Biomedical Technology and Technical Medicine, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands.

Department of Rehabilitation Medicine, VU University Medical Center, Amsterdam Movement Sciences, Amsterdam, The Netherlands.

出版信息

Ann Biomed Eng. 2017 Oct;45(10):2423-2436. doi: 10.1007/s10439-017-1881-x. Epub 2017 Jul 19.

Abstract

This proof-of-principle study describes the methodology and explores and demonstrates the applicability of a system, existing of miniature inertial sensors on the hand and a separate force sensor, to objectively quantify hand motor symptoms in patients with Parkinson's disease (PD) in a clinical setting (off- and on-medication condition). Four PD patients were measured in off- and on- dopaminergic medication condition. Finger tapping, rapid hand opening/closing, hand pro/supination, tremor during rest, mental task and kinetic task, and wrist rigidity movements were measured with the system (called the PowerGlove). To demonstrate applicability, various outcome parameters of measured hand motor symptoms of the patients in off- vs. on-medication condition are presented. The methodology described and results presented show applicability of the PowerGlove in a clinical research setting, to objectively quantify hand bradykinesia, tremor and rigidity in PD patients, using a single system. The PowerGlove measured a difference in off- vs. on-medication condition in all tasks in the presented patients with most of its outcome parameters. Further study into the validity and reliability of the outcome parameters is required in a larger cohort of patients, to arrive at an optimal set of parameters that can assist in clinical evaluation and decision-making.

摘要

这项原理验证研究描述了一种方法,并探索和展示了一种系统的适用性,该系统由手部的微型惯性传感器和一个单独的力传感器组成,可在临床环境中(停药和服药两种状态下)客观量化帕金森病(PD)患者的手部运动症状。对 4 名 PD 患者进行了停药和服药状态下的测量。使用该系统(称为 PowerGlove)测量了手指敲击、快速手部开合、手部内/外旋、休息时震颤、心理任务和动力任务以及手腕僵硬运动。为了证明适用性,展示了患者停药和服药状态下手部运动症状的各种测量结果参数。所描述的方法和呈现的结果表明,PowerGlove 可在临床研究环境中应用,使用单个系统客观量化 PD 患者的手部运动迟缓、震颤和僵硬。PowerGlove 在呈现的患者的所有任务中测量到停药和服药状态下的差异,其大多数结果参数都有所体现。需要在更大的患者队列中进一步研究结果参数的有效性和可靠性,以确定一套最佳的参数,从而有助于临床评估和决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ac0/5622175/18bbdf106ec6/10439_2017_1881_Fig1_HTML.jpg

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