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使用惯性感应来确定治疗前后运动障碍的运动表现。

Inertial sensing to determine movement disorder motion present before and after treatment.

机构信息

Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada.

出版信息

Sensors (Basel). 2012;12(3):3512-27. doi: 10.3390/s120303512. Epub 2012 Mar 12.

Abstract

There has been a lot of interest in recent years in using inertial sensors (accelerometers and gyroscopes) to monitor movement disorder motion and monitor the efficacy of treatment options. Two of the most prominent movement disorders, which are under evaluation in this research paper, are essential tremor (ET) and Parkinson's disease (PD). These movement disorders are first evaluated to show that ET and PD motion often depict more (tremor) motion content in the 3-12 Hz frequency band of interest than control data and that such tremor motion can be characterized using inertial sensors. As well, coherence analysis is used to compare between pairs of many of the six degrees-of-freedom of motions under evaluation, to determine the similarity in tremor motion for the various degrees-of-freedom at different frequency bands of interest. It was quite surprising that this coherence analysis depicts that there is a statistically significant relationship using coherence analysis when differentiating between control and effectively medicated PD motion. The statistical analysis uncovers the novel finding that PD medication induced dyskinesia is depicted within coherence data from inertial signals. Dyskinesia is involuntary motion or the absence of intended motion, and it is a common side effect among medicated PD patients. The results show that inertial sensors can be used to differentiate between effectively medicated PD motion and control motion; such a differentiation can often be difficult to perform with the human eye because effectively medicated PD patients tend to not produce much tremor. As well, the finding that PD motion, when well medicated, does still differ significantly from control motion allows for researchers to quantify potential deficiencies in the use of medication. By using inertial sensors to spot such deficiencies, as outlined in this research paper, it is hoped that medications with even a larger degree of efficacy can be created in the future.

摘要

近年来,人们对使用惯性传感器(加速度计和陀螺仪)来监测运动障碍运动和监测治疗选择的效果产生了浓厚的兴趣。在本研究论文中评估的两个最突出的运动障碍是特发性震颤(ET)和帕金森病(PD)。这些运动障碍首先进行评估,以表明 ET 和 PD 运动通常在感兴趣的 3-12Hz 频带中描绘出比对照数据更多的(震颤)运动内容,并且可以使用惯性传感器来描述这种震颤运动。此外,相干分析用于比较评估的六个自由度中的许多自由度之间的对,以确定在不同感兴趣的频带中各种自由度的震颤运动的相似性。令人惊讶的是,这种相干分析描绘了当使用相干分析区分对照和有效治疗的 PD 运动时,存在统计学上显著的关系。统计分析揭示了一个新的发现,即从惯性信号的相干数据中可以描绘出 PD 药物引起的运动障碍。运动障碍是不自主的运动或意图运动的缺失,它是服用药物的 PD 患者的常见副作用。结果表明,惯性传感器可用于区分有效治疗的 PD 运动和对照运动;由于有效治疗的 PD 患者往往不会产生太多震颤,因此这种区分通常很难用肉眼进行。此外,当 PD 运动得到很好的治疗时,它仍然与对照运动有很大的区别,这使得研究人员能够量化药物治疗的潜在缺陷。通过使用惯性传感器来发现这种缺陷,正如本研究论文中所概述的那样,希望未来能够创造出具有更大疗效的药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2324/3376555/9051e337e8bb/sensors-12-03512f1.jpg

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