Constrained Blind Source Extraction of Readiness Potentials From EEG

被引：35

作者：

Ahmadian, Pouya ^{[1
,2
]}

Sanei, Saeid ^{[3
]}

Ascari, Luca ^{[1
]}

Gonzalez-Villanueva, Lara ^{[1
,2
]}

Umilta, Maria Alessandra ^{[4
]}

机构：

[1] Henesis, I-43125 Parma, Italy

[2] Univ Parma, Dept Informat Engn, IbisLab, I-43100 Parma, Italy

[3] Univ Surrey, Fac Engn & Phys Sci, Guildford GU2 7XH, Surrey, England

[4] Univ Parma, Sect Physiol, Dept Neurosci, I-43125 Parma, Italy

来源：

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2013年 / 21卷 / 04期

关键词：

Bereitschaftspotential (BP); blind source separation (BSS); constraint blind signal extraction (CBSE); electroencephalography (EEG); readiness potential (RP); second-order blind identification (SOBI); template matching; INDEPENDENT COMPONENT ANALYSIS;

D O I：

10.1109/TNSRE.2012.2227278

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

One of the changes seen in electroencephalography (EEG) data preceding human voluntary movement is a cortical potential called readiness potential (RP). Detection of this potential can benefit researchers in clinical neurosciences for rehabilitation of malfunctioning brain and those working on brain-computer interfacing to develop a suitable mechanism to detect the intention of movement. Here, a constrained blind source extraction (CBSE) is attempted for detection of RP. A suitable constraint is defined and applied. The results are also compared with those of the traditional blind source separation in terms of true positive rate, false positive rate, and computation time. The results show that the CBSE approach in overall has superior performance.

引用

页码：567 / 575

页数：9

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