NEUROMAGNETOMETER COMPUTER SYSTEM

NINCDS医学神经病学分会，生物医学工程和 DRS仪表处和DCRT计算机系统实验室 正在合作一项研究项目，以非侵入性方式定位癫痫患者 利用神经磁性记录技术研究人脑内的放电源 与常规脑电(EEG)记录相结合。 许多癫痫患者表现出低水平的细胞放电。 发作之间，由发作间歇期的脑电波和 脑磁图(MEG)记录。这个项目涉及到 计算机技术的发展，以实现自动化和增强 NINCDS神经病学家目前用来确定 发作间期棘波来源的脑内定位 癫痫。 所需的脑磁图和脑电信号是用一个 从生物磁技术公司(BTI)购买并放置在 在86财年期间运营。该系统包括一个七通道鱿鱼 (超导量子干涉装置)用于测量脑磁图信号 同时从头部的七个部位，结合BTI和 用于采集脑电和脑磁图的惠普(HP)数据采集系统 以及一台HP 9000计算机工作站，用于信号处理和 图形显示功能。 CSL设计并构建了32路信号选择和调理 添加到数据采集系统的接口。方法是 目前正在开发以自动化发作间期的实时检测 脑电信号和脑磁图中的棘波及其相关特征提取 对检测到的波形进行表征。从这些网站获得的信息 要素将与从原始波形中提取的值一起使用 生成确定癫痫灶所需的图形显示。

The Medical Neurology Branch of NINCDS, the Biomedical Engineering and Instrumentation Branch of DRS, and the Computer Systems Laboratory of DCRT are collaborating on a research project to noninvasively localize epileptic discharge sources within the human brain utilizing neuromagnetic recording in conjunction with conventional electroencephalogram (EEG) recording. Many patients with seizure disorders exhibit low-level cellular discharges between seizures, indicated by interictal spikes in their EEG and magnetoencephalogram (MEG) recordings. This project involves the development of computer techniques for automating and enhancing the procedure that is presently used by NINCDS neurologists for determining the intracranial locations of the sources of interictal spikes in patients with epilepsy. The required MEG and EEG signals are acquired with a system that was purchased from Biomagnetic Technologies, Inc. (BTi) and placed in operation during FY86. This system includes a seven-channel SQUID (superconducting quantum interference device) for measuring the MEG signal from seven sites on the head simultaneously, a combined BTi and Hewlett-Packard (HP) data acquisition system for acquiring the EEG and MEG signals, and an HP 9000 computer workstation for signal processing and graphical display functions. CSL designed and built a 32-channel signal selection and conditioning interface that was added to the data acquisition system. Methods are presently being developed to automate the real time detection of interictal spikes from the EEG and MEG signals and the extraction of relevant features characterizing the detected waveforms. The information obtained from these features will be used with values extracted from the raw waveforms to generate the graphical displays needed to determine the epileptic foci.