Adaptive spatial filters for electromagnetic brain imaging
著者
書誌事項
Adaptive spatial filters for electromagnetic brain imaging
（Series in biomedical engineering）
Springer, c2008
大学図書館所蔵 件 / 全5件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes Index
内容説明・目次
内容説明
Neural activity in the human brain generates coherent synaptic and intracellular currents in cortical columns that create electromagnetic signals which can be measured outside the head using magnetoencephalography (MEG) and electroencephalography (EEG). Electromagnetic brain imaging refers to techniques that reconstruct neural activity from MEG and EEG signals. Electromagnetic brain imaging is unique among functional imaging techniques for its ability to provide spatio-temporal brain activation profiles that reflect not only where the activity occurs in the brain but also when this activity occurs in relation to external and internal cognitive events, as well as to activity in other brain regions. Adaptive spatial filters are powerful algorithms for electromagnetic brain imaging that enable high-fidelity reconstruction of neuronal activity. This book describes the technical advances of adaptive spatial filters for electromagnetic brain imaging by integrating and synthesizing available information and describes various factors that affect its performance. The intended audience include graduate students and researchers interested in the methodological aspects of electromagnetic brain imaging.
目次
Sensor array outputs and spatial filters.- Tomographic reconstruction and nonadaptive spatial filters.- Adaptive spatial filters.- Location bias, spatial resolution, and beam response.- Output SNR and array mismatch.- Effects of low-rank interference.- Effects of high-rank interference.- Effects of source correlation.- Effects of using the sample covariance matrix.- Statistical evaluation of the spatial filter output.- Methods related to adaptive spatial filters.- Appendices.
「Nielsen BookData」 より