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验证一种用于从视频记录中自动评估震颤频率的新工具。

Validation of a new tool for automatic assessment of tremor frequency from video recordings.

机构信息

Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic.

出版信息

J Neurosci Methods. 2011 May 15;198(1):110-3. doi: 10.1016/j.jneumeth.2011.02.033. Epub 2011 Mar 29.

Abstract

We present a validation study for TremAn--a tool for automatic detection of tremor and measurement of its frequency from video recordings. To assess the validity of TremAn we designed a study consisting of tremor assessment from video, by accelerometry and by clinical evaluation using Fahn-Tolosa-Marin scale. 26 patients with essential tremor and 5 healthy volunteers underwent the examination in four standardized positions with focus on the hand tremor. Results showed that the frequencies of tremor measured with TremAn and with accelerometry are closely related, attaining agreement with less than 0.1 Hz difference in 80% and less than 0.5 Hz in 94% of measured samples. The reproducibility of frequency measurements using TremAn was comparable to the accelerometry, with the TremAn/accelerometry ratio of measurement error standard deviations equal to 0.99 (95% confidence interval (0.84, 1.17)).

摘要

我们提出了一项 TremAn 的验证研究——一种用于从视频记录中自动检测震颤并测量其频率的工具。为了评估 TremAn 的有效性,我们设计了一项研究,包括通过加速度计和使用 Fahn-Tolosa-Marin 量表进行临床评估来评估视频中的震颤。26 名特发性震颤患者和 5 名健康志愿者在四个标准化位置进行检查,重点关注手部震颤。结果表明,使用 TremAn 和加速度计测量的震颤频率密切相关,在 80%的测量样本中差异小于 0.1 Hz,在 94%的测量样本中差异小于 0.5 Hz。使用 TremAn 进行频率测量的可重复性与加速度计相当,TremAn/加速度计测量误差标准差的比值等于 0.99(95%置信区间(0.84,1.17))。

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