Jervis B W, Coelho M, Morgan G W
Med Biol Eng Comput. 1989 Sep;27(5):484-90. doi: 10.1007/BF02441466.
Work undertaken to investigate the effect on EEG responses of ocular artefact removal by proportional electro-oculogram subtraction using the least-squares method is reported. The ocular artefact model and the least-squares approach to estimation of the model parameters and hence of the EEG waveform, including the response, are described. Results are presented to show that the response shapes become modified if ocular artefact removal is implemented recursively. This happens because the response is incorrectly treated as part of the random background EEG. The solution is to incorporate a model of the response within the ocular artefact removal algorithm. The results of tests on simulated data confirm these conclusions. The results of the incorporation of response models in removing ocular artefacts from CNV recordings are presented. Even with modelling recursive ocular artefact removal is found to modify the shape of the CNV, and so reliable results can only be obtained if the removal is implemented nonrecursively. Evidence is given that it is advisable to remove DC levels from the recorded data.
报告了一项关于使用最小二乘法通过比例眼电图减法去除眼动伪迹对脑电图（EEG）反应影响的研究工作。描述了眼动伪迹模型以及用于估计模型参数进而估计EEG波形（包括反应）的最小二乘法。结果表明，如果递归地实施眼动伪迹去除，反应形状会发生改变。这是因为反应被错误地视为随机背景EEG的一部分。解决方案是在眼动伪迹去除算法中纳入反应模型。对模拟数据的测试结果证实了这些结论。展示了在从视锥细胞电位（CNV）记录中去除眼动伪迹时纳入反应模型的结果。即使进行建模，发现递归去除眼动伪迹会改变CNV的形状，因此只有非递归地实施去除才能获得可靠的结果。有证据表明，建议从记录数据中去除直流电平。
