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用于人体伤害性退缩反射和反射感受野的数据采集与分析系统的开发。

Development of a data acquisition and analysis system for nociceptive withdrawal reflex and reflex receptive fields in humans.

作者信息

Biurrun Manresa Jose A, Hansen John, Andersen Ole K

机构信息

Integrative Neuroscience group within the Center for Sensory-Motor Interaction (SMI), Dept. of Health, Science and Technology, Aalborg University, Fredrik Bajers vej 7, Aalborg Øst, 9220 Denmark.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:6619-24. doi: 10.1109/IEMBS.2010.5627139.

DOI:10.1109/IEMBS.2010.5627139
PMID:21096727
Abstract

A system for data acquisition and analysis of nociceptive withdrawal reflex (NWR) and reflex receptive field (RRF) is introduced. The system is constituted by hardware and software components. The hardware consists of devices commonly used for electrical stimulation and electromyographic and kinematic data recording. The software comprises two different programs: Wirex, a stand-alone program developed in LabView for data acquisition, and Reflex Lab, a Matlab-based toolbox for data analysis. These programs were developed to maximize the potential of the hardware, turning it into a complete stimulation system capable of automatic quantification of NWR and RRF. In this article, a brief review of NWR and RRF analysis is presented, the system features are described in detail and its present and future applications are discussed.

摘要

介绍了一种用于伤害性退缩反射(NWR)和反射感受野(RRF)数据采集与分析的系统。该系统由硬件和软件组件构成。硬件包括常用于电刺激以及肌电图和运动学数据记录的设备。软件包含两个不同的程序:Wirex,一个在LabView中开发的用于数据采集的独立程序;以及Reflex Lab,一个基于Matlab的用于数据分析的工具箱。开发这些程序是为了最大限度地发挥硬件的潜力,将其转变为一个能够自动量化NWR和RRF的完整刺激系统。本文简要回顾了NWR和RRF分析,详细描述了系统特点,并讨论了其当前和未来的应用。

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引用本文的文献

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Probabilistic model for individual assessment of central hyperexcitability using the nociceptive withdrawal reflex: a biomarker for chronic low back and neck pain.使用伤害性退缩反射对中枢兴奋性进行个体评估的概率模型:慢性腰背痛和颈痛的生物标志物。
BMC Neurosci. 2013 Oct 3;14:110. doi: 10.1186/1471-2202-14-110.