Suppr超能文献

癫痫发作中的运动量化:一种新的 3D 方法的可行性研究。

Movement quantification in epileptic seizures: a feasibility study for a new 3D approach.

机构信息

Department of Electronics, Telecommunications and Informatics/IEETA, University of Aveiro, 3810-193 Aveiro, Portugal.

出版信息

Med Eng Phys. 2012 Sep;34(7):938-45. doi: 10.1016/j.medengphy.2011.10.013. Epub 2012 Jan 4.

Abstract

Movement quantification of the human body is presently used for analyzing deficits resulting from Central Nervous System (CNS) pathologies or exploring the insights of the human motor system behaviour. Following our previous work on 2D movement quantification of epileptic seizures, we now present a feasibility study for a newly developed 3D technique. In order to validate this new 3D approach we made a comparison with the previous method. Both techniques were tested in two different datasets: a simple motor execution performed by a volunteer and a complex motor motion induced by a real epileptic seizure. The results obtained showed, as expected, the superior robustness and precision of the 3D approach but also confirmed the validity of the 2D method, given certain constraints. We conclude that the newly developed 3D system will highly improve our capacity of pursuing the clinical research on quantitative characterization of seizure semiology to support epilepsy diagnosis.

摘要

目前,人体运动量化被用于分析中枢神经系统 (CNS) 病变导致的缺陷,或探索人类运动系统行为的洞察力。继我们之前对癫痫发作的 2D 运动量化的研究之后,我们现在提出了一种新开发的 3D 技术的可行性研究。为了验证这种新的 3D 方法,我们与之前的方法进行了比较。两种技术都在两个不同的数据集上进行了测试:一个是志愿者执行的简单运动,另一个是由真正的癫痫发作引起的复杂运动。获得的结果表明,正如预期的那样,3D 方法具有更高的稳健性和精度,但也在一定的限制下证实了 2D 方法的有效性。我们得出结论,新开发的 3D 系统将极大地提高我们对癫痫发作症状学的定量特征进行临床研究的能力,以支持癫痫诊断。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验