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大鼠运动和振动行为的综合数字图像与加速度计测量

Integrated digital image and accelerometer measurements of rat locomotor and vibratory behaviour.

作者信息

Shih Yuan-Hsing, Young Ming-Shing

机构信息

Department of Electrical Engineering, National Cheng Kung University, Suite 92689, No.1, Dashiue Rd., Tainan 701, Taiwan, ROC.

出版信息

J Neurosci Methods. 2007 Oct 15;166(1):81-8. doi: 10.1016/j.jneumeth.2007.07.003. Epub 2007 Jul 17.

Abstract

This study developed a combined IC-type accelerometer and video camera system to simultaneously measure vibration and locomotion activities in rats. A personal computer, adopted as an image frame grabber, was combined with a digital image processing algorithm to measure the precise location of an animal in an experimental cage. An accelerometer-based vibration subsystem, based on an 89C51 single-chip microprocessor, was designed. The acceleration sensor module was attached directly to the shaved back of the rat's body to directly measure the animal's vibration. This module can detect a wide range of vibrations from movements of the entire body to micro-tremors. Along with hardware, this study also proposes novel software for video enhancement and data analysis to calculate the behaviour parameters from recorded movements. In normal mode, three vibration activities (locomotor activity, tremor and twitch) are auto-analyzed every 10 min. The results are saved, and various display, statistical and data organization options are available. The primary merits of this system are the ability to simultaneously record locomotion and vibrational data, the rapid set-up and operation, the low cost, the reduced illumination requirements, the reduction of environmental noise and the high precision. The proposed method will be of interest to researchers in various behavioural, biological and medical fields.

摘要

本研究开发了一种结合集成电路型加速度计和摄像机的系统,用于同时测量大鼠的振动和运动活动。采用个人计算机作为图像采集卡,并结合数字图像处理算法来测量动物在实验笼中的精确位置。设计了一种基于89C51单片机的基于加速度计的振动子系统。加速度传感器模块直接附着在大鼠剃毛后的背部,以直接测量动物的振动。该模块可以检测从全身运动到微震颤的广泛振动。除了硬件,本研究还提出了用于视频增强和数据分析的新颖软件,以从记录的运动中计算行为参数。在正常模式下,每10分钟自动分析三种振动活动(运动活动、震颤和抽搐)。结果被保存,并且有各种显示、统计和数据组织选项。该系统的主要优点是能够同时记录运动和振动数据、设置和操作快速、成本低、对照明要求降低、减少环境噪声以及高精度。所提出的方法将引起各个行为、生物学和医学领域研究人员的兴趣。

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