Title :
Optimal set of EEG electrodes for rapid serial visual presentation
Author :
Hild, Kenneth E., II ; Mathan, Santosh ; Huang, Yonghong ; Erdogmus, Deniz ; Pavel, Misha
Author_Institution :
Dept. of Biomed. Eng., Oregon Health & Sci. Univ., Portland, OR, USA
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
In our application, the goal is to search through a large image to find all instances of a pre-specified, high-valued target. One approach taken to increase the throughput of this image search task is to: chop the large image into numerous small images, display them to a user at high rates one-at-a-time, and then search the simultaneously-recorded EEG data for neural activity that signifies that the user detected an instance of the target. The temporal efficiency of this EEG-based system is reduced by the overhead, which increases as the number of electrodes increases. Hence, we wish to find a minimal set of electrodes that ideally maintains the detection performance. In order to inform the design of future EEG-based image search systems, in this paper we find the 12 out of 32/64 most important electrodes for detection using 5 different feature selection methods. The optimal set includes all 5 occipital and the 2 most frontal electrodes.
Keywords :
biomedical electrodes; electroencephalography; medical image processing; neurophysiology; EEG electrode optimal set; EEG-based image search systems; frontal electrode; image search task; neural activity; occipital electrode; rapid serial visual presentation; simultaneously-recorded EEG data; Computers; Electrodes; Electroencephalography; Humans; Mutual information; Scalp; Electrodes; Electroencephalography; Humans; Principal Component Analysis; Vision, Ocular;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627081