BEAMFORMER DESIGN UNDER TIME-CORRELATED INTERFERENCE AND ONLINE IMPLEMENTATION: BRAIN-ACTIVITY RECONSTRUCTION FROM EEG

被引：0

作者：

Kono, Takehiro ^{[1
]}

Yukawa, Masahiro ^{[1
,2
]}

Piotrowski, Tomasz ^{[3
,4
]}

机构：

[1] Keio Univ, Dept Elect & Elect Engn, Tokyo, Japan

[2] RIKEN, Ctr Adv Intelligence Project, Wako, Saitama, Japan

[3] Nicolaus Copernicus Univ, Fac Phys Astron & Informat, Grudziadzka 5-7, PL-87100 Torun, Poland

[4] Nicolaus Copernicus Univ, Interdisciplinary Ctr Modern Technol, Wilenska 4, PL-87100 Torun, Poland

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2019年

关键词：

Electroencephalography; inverse ploblems; relaxed zero forcing; MVDR beamformer; nulling beamformer; NEUROFEEDBACK;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We present a convexly-constrained beamformer design for brain activity reconstruction from non-invasive electroencephalography ( EEG) signals. An intrinsic gap between the output variance and the mean squared errors is highlighted that occurs due to the presence of interfering activities correlated with the desired activity. The key idea of the proposed beamformer is reducing this gap without amplifying the noise by imposing a quadratic constraint that bounds the total power of interference leakage together with the distortionless constraint. The proposed beamformer can be implemented efficiently by the multi-domain adaptive filtering algorithm. Numerical examples show the clear advantages of the proposed beamformer over the minimum-variance distortionless response (MVDR) and nulling beamformers.

引用

页码：1070 / 1074

页数：5