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Interactive analysis and display of the electroencephalogram (EEG) in real time

机译:实时交互式分析和显示脑电图(EEG)

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The development of fast, relatively inexpensive graphics terminals permits the integration of interactive display with on-line, real time signal analysis in dedicated minicomputer systems. Interactive display in the context of electroencephalogram (EEG) analysis includes: 1. control over form and parameters of an isometric plot using hidden line suppression and floating level; 2. selection of function and transform to graph; and 3. expansion or contraction of coordinate axes and time scale, from "wide angle" views of the course of several hours of recording of the entire scalp, to "telescopic" blow-ups of the details of two or three seconds of activity in a single channel.The analysis paradigms function on-line and in real time, and incorporate parallel time domain and spectral analysis on data from eight or fewer electrode placements. Spectral estimates of power and simple coherences are typically formed using ensemble averages of non-overlapping one-half to two second periodograms obtained by Fast Fourier Transform. Transient analysis uses heuristic strategies to isolate clinically significant patterns, such as the sharp paroxysmal wave forms associated with the epilepsies. Instrumental and extra-cerebral artifacts are partially eliminated by algorithms based upon heuristic criteria. Parameters of spectral and transient analysis are interactively alterable to facilitate varying experimental paradigms.To implement such systems, which can be both compute and I/0 bound, it is necessary to optimize systems software. A simple and multitasking executive coordinates program task modules. Memory space and computing time are conserved through extensive use of dynamic buffer allocation and double precision integer arithmetic.
机译:快速,相对便宜的图形终端的发展允许在专用小型计算机系统中将交互式显示与在线实时信号分析集成在一起。脑电图(EEG)分析环境中的交互式显示包括:1.使用隐藏线抑制和浮动电平控制等轴测图的形式和参数; 2.选择功能并转换为图形; 3.坐标轴和时间标度的扩展或收缩,从整个头皮记录几个小时的过程的“广角”视图,到“望远镜式”放大两到三秒钟活动细节的过程分析范式可在线实时运行,并且可以对来自八个或更少电极位置的数据进行并行时域和频谱分析。通常使用通过快速傅立叶变换获得的不重叠的一半到二秒周期图的整体平均值来形成功率和简单相干的频谱估计。瞬态分析使用启发式策略来分离临床上重要的模式,例如与癫痫相关的尖锐的阵发性波形。通过基于启发式标准的算法,部分消除了仪器和大脑外的伪影。频谱和瞬态分析的参数可以交互更改,以促进变化的实验范式。要实现这样的系统,该系统既可以计算又可以限制在I / 0范围内,则有必要优化系统软件。一个简单的多任务执行程序可以协调程序任务模块。通过广泛使用动态缓冲区分配和双精度整数算法,可以节省内存空间和计算时间。

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