A software-based platform for multichannel electrophysiological data acquisition

G. Frigo, M. Rubega, G. Lezziero, R. Fontana, C. Cecchetto, S. Vassanelli, G. Sparacino, Matteo Bertocco
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引用次数: 2

Abstract

Recent improvements in microelectrodes technology have enabled neuroscientists to record electrophysiological signals from hundreds of neurons and simultaneously from a large number of channels. However, several environmental factors may introduce noise and artefacts and affect proper interpretation of recordings. Thus, the development of appropriate signal acquisition and processing platforms dealing with large data sets and in real-time represents a current fundamental challenge. In the present work, we present an easily-expandable Lab VIEW based software for handling data in real-time during a multichannel neurophysiological signal acquisition. The software was designed to exploit modern MultiCore CPUs for large scale data processing and, by freely setting key acquisition parameters, to work with virtually any kind of biological signal. The software allows for data storage in MATLAB format to facilitate off-line signal processing. Examples of local field potential signal acquisitions from the mouse hippocampus are reported to illustrate software features.
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基于软件的多通道电生理数据采集平台
最近微电极技术的改进使神经科学家能够同时记录来自数百个神经元和大量通道的电生理信号。然而,一些环境因素可能会引入噪音和人工制品,并影响录音的正确解释。因此,开发适当的信号采集和处理平台来处理大数据集和实时是当前的一个基本挑战。在目前的工作中,我们提出了一个易于扩展的基于Lab VIEW的软件,用于在多通道神经生理信号采集过程中实时处理数据。该软件旨在利用现代多核cpu进行大规模数据处理,并通过自由设置关键采集参数,几乎可以处理任何类型的生物信号。该软件允许以MATLAB格式存储数据,方便离线信号处理。本文报道了从小鼠海马体获取局部场电位信号的例子,以说明软件的特点。
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