Süss M, Rabending G, Heydenreich F
Psychiatr Neurol Med Psychol (Leipz). 1987 Feb;39(2):98-102.
A classifier based on the linear regression model was developed to automatically detect sharp transients in EEG, matching the definition of spikes and sharp waves accepted by IFSECN. Practical applications proved the accuracy of the method which succeeded in detecting 84% of sharp transients previously found by an experienced electronencephalographer. Computerized search for sharp transients in EEG records will be particularly useful in long term EEG records obtained from epileptic patients.
开发了一种基于线性回归模型的分类器,用于自动检测脑电图(EEG)中的尖锐瞬变,符合国际癫痫与睡眠电临床神经生理学会(IFSECN)认可的棘波和尖波定义。实际应用证明了该方法的准确性,成功检测出了一位经验丰富的脑电图专家之前发现的84%的尖锐瞬变。在癫痫患者的长期脑电图记录中,利用计算机搜索EEG记录中的尖锐瞬变将特别有用。