Pradhan N, Dutt D N, Satyam S
Department of Psychopharmacology, National Institute of Mental Health & Neurosciences, Bangalore, India.
Comput Biol Med. 1993 Jan;23(1):15-20. doi: 10.1016/0010-4825(93)90104-9.
This paper describes a novel mimetic technique of using frequency domain approach and digital filters for automatic generation of EEG reports. Digitized EEG data files, transported on a cartridge, have been used for the analysis. The signals are filtered for alpha, beta, theta, and delta bands with digital bandpass filters of fourth-order, cascaded, Butterworth, infinite impulse response (IIR) type. The maximum amplitude, mean frequency, continuity index and degree of asymmetry have been computed for a given EEG frequency band. Finally, searches for the presence of artifacts (eye movement or muscle artifacts) in the EEG records have been made.
本文描述了一种使用频域方法和数字滤波器自动生成脑电图报告的新型模拟技术。已使用存储在盒式磁带上的数字化脑电图数据文件进行分析。使用四阶、级联、巴特沃斯、无限脉冲响应（IIR）型数字带通滤波器对信号进行α、β、θ和δ波段滤波。已针对给定的脑电图频段计算了最大振幅、平均频率、连续性指数和不对称程度。最后，对脑电图记录中伪迹（眼动或肌肉伪迹）的存在进行了搜索。
