文献类型： 会议论文

第一作者： Carolina Migliorelli

作者： Carolina Migliorelli ¹ ; Sergio Romero ² ; Joan F. Alonso; Rafal Nowak; Antonio Russi; Miguel Angel Mananas;

作者机构： 1.Department of Automatic Control and the Biomedical Engineering Research Centre (CREB), Universitat

2.and with the the Biomedical Research Networking Center in Bioengineering, Biomaterials and

会议名称： IEEE Engineering in Medicine and Biology Society., Conference.

主办单位：

页码： 5970-5973

摘要： Magnetoencephalography is a technique that can noninvasively measure the brain signal. There are many advantages of using this technique rather than similar procedures such as the EEG for the evaluation of medical diseases. However, one of its main problems is its high sensitivity to sources causing metallic distortion of the signal, and the removal of this type of artifacts remains unsolved. In this study a technique for reducing metallic interference was presented. This algorithm was based on AMUSE, a second order blind source separation method, and a procedure for choosing the artifactual independent components was also presented. The results showed that the elimination of these artifacts would be possible by means of the application of this AMUSE-based interference reduction procedure.

分类号： r318