Barr R E, Ackmann J J, Sonnenfeld J
Int J Biomed Comput. 1978 Nov;9(6):465-76. doi: 10.1016/0020-7101(78)90053-3.
A peak-detection method is described for computer analysis of the the electroencephalogramme (EEG). The technique consists of measuring the amplitude and time interval between successive maxima (peaks) and minima (troughs) in the signal. A critical feature of the peak-detection algorithm is the inclusion of an amplitude threshold criterion which eliminates the registration of low-voltage activity riding on EEG waves. The peak-detection procedure permits the formulation of a variety of intra-band and inter-band EEG statistics which can be useful in on-line computer applications. The peak-detection algorithm has been successfully applied to a number of normal and clinical EEG recordings. Although no computer procedure for EEG analysis has yet been universally adopted, the peak-detection algorithm reported in this paper presents a standardised approach which can be used between EEG clinics.
本文描述了一种用于脑电图（EEG）计算机分析的峰值检测方法。该技术包括测量信号中连续最大值（峰值）和最小值（谷值）之间的幅度和时间间隔。峰值检测算法的一个关键特性是包含一个幅度阈值标准，该标准可消除叠加在脑电波上的低电压活动的记录。峰值检测程序允许制定各种带内和带间脑电图统计数据，这些数据可用于在线计算机应用。峰值检测算法已成功应用于许多正常和临床脑电图记录。虽然尚未普遍采用用于脑电图分析的计算机程序，但本文报道的峰值检测算法提供了一种可在脑电图诊所之间使用的标准化方法。
