Lazăr Anca Mihaela, Ursulean R
Biomedical Instrumentation Department, School of Medical Bioengineering, Gr.T. Popa University of Medicine and Pharmacy Iaşi.
Rev Med Chir Soc Med Nat Iasi. 2010 Jul-Sep;114(3):916-20.
The aim of this paper is to develop a technique of rejection or minimization of ocular artifacts from the electroencephalographic (EEG) recordings.
The method presented is based on mathematical morphology. The algorithm and the individual structuring element are presented along with the particularities concerning the parameters that characterize the structuring element.
The obtained results are shown in a comprehensive form by means of an illustrating example that evidences the efficiency of the method.
The proposed method simplyfies the task of removing the ocular artifacts by means of nonlinear filtering and introduces a new structural element for the job. The results are validated by means of Fourier analysis and this clearly shows its effectiveness.
本文的目的是开发一种从脑电图（EEG）记录中去除或最小化眼部伪影的技术。
所提出的方法基于数学形态学。介绍了算法和单个结构元素，以及表征结构元素的参数的特殊性。
通过一个说明性示例以综合形式展示了所得结果，该示例证明了该方法的有效性。
所提出的方法通过非线性滤波简化了去除眼部伪影的任务，并为此工作引入了一种新的结构元素。通过傅里叶分析对结果进行了验证，这清楚地表明了其有效性。
