Suppr超能文献

手指敲击运动分析

Analysis of finger-tapping movement.

作者信息

Jobbágy Akos, Harcos Péter, Karoly Robert, Fazekas Gábor

机构信息

Department of Measurement and Information Sytems, Budapest University of Technology and Economics, p.o.b. 91, 1521 Budapest, Hungary.

出版信息

J Neurosci Methods. 2005 Jan 30;141(1):29-39. doi: 10.1016/j.jneumeth.2004.05.009.

Abstract

The piano-playing-like finger-tapping movement has been analyzed with a precision image-based motion analyzer (PRIMAS). 32 healthy subjects (148 recordings) and 10 Parkinsonian patients (25 recordings) were tested. The tracking of fingers during the whole movement increased the level of information obtained from the finger-tapping test compared to visual observation or to measurement with simple contact sensors. Different feature extraction methods have been developed to evaluate the movement and thus the actual performance of the tested person. The reliability of a novel parameter, the finger-tapping test score (FTTS), that takes into account both the speed and the regularity (periodicity) of finger-tapping, was assessed in six control subjects, with four subjects tested at least 14 times. FTTS helps in staging of Parkinsonian patients. A simple and cheap device (passive marker-based analyser of movement, PAM) has been developed that is affordable for routine clinical use.

摘要

已经使用基于精密图像的运动分析仪(PRIMAS)对类似弹钢琴的手指敲击运动进行了分析。测试了32名健康受试者(148次记录)和10名帕金森病患者(25次记录)。与视觉观察或使用简单接触传感器进行测量相比,在整个运动过程中对手指的跟踪提高了从手指敲击测试中获得的信息水平。已经开发了不同的特征提取方法来评估运动,从而评估被测者的实际表现。在六名对照受试者中评估了一种新参数——手指敲击测试分数(FTTS)的可靠性,其中四名受试者至少测试了14次。FTTS有助于帕金森病患者的分期。已经开发出一种简单且廉价的设备(基于被动标记的运动分析仪,PAM),可用于常规临床使用。

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