MAGNETOCARDIOGRAPHY T WAVE SIGNALS RECONSTRUCTION WITH SMOOTHED SPARSE CONSTRAINT

摘要：

We present a smoothed sparse constraint that was used for the magnetocardiography (MCG) inverse problem for improving the performance of the Focal Underdetermined System Solver (FOCUSS) algorithm, which can be used for source reconstruction problems in magnetoencephalography (MEG) and electroencephalography (EEG). In our new source reconstruction algorithm the smoothed sparse constraint is associated with the iterative FOCUSS procedure. We compare the performance of the new distributed sources reconstruction algorithm with that of FOCUSS algorithm by numerical experiments. The results from two sets of measured MCG data show that using constraint can force the inverse problem to converge to a sparse solution and escape from local optima effectively. Future work is also discussed.

关键词： sparse solution magnetocardiography inverse problems source reconstruction signal processing

作者: L.Bing S.Q.Jiang

作者单位: Department of Control Science and Engineering School of Electronics and Information Engineering, Tongji University,Shanghai, P. R. China

会议类型: 国际会议

会议名称: 2012 International Conference on System Simulation(2012年国际系统仿真学术会议)

会议地点: 上海

会议语种:英文

页码: 298-301

在线出版日期: 2012-04-06（万方平台首次上网日期，不代表论文的发表时间）