Title :
Common spatial patterns for steady-state somatosensory evoked potentials
Author :
Yunjun Nam ; Cichocki, Andrzej ; Seungjin Choi
Author_Institution :
Sch. of Interdiscipl. Biosci. & Bioeng., Pohang Univ. of Sci. & Technol., Pohang, South Korea
Abstract :
Steady-state somatosensory evoked potential (SSSEP) is a recently developing brain-computer interface (BCI) paradigm where the brain response to tactile stimulation of a specific frequency is used. Thus far, spatial information was not examined in depth in SSSEP BCI, because frequency information was regarded as the main concern of SSSEP analysis. However, given that the somatosensory cortex areas, each of which correspond to a different body part, are well clustered, we can assume that the spatial information could be beneficial for SSSEP analysis. Based on this assumption, we apply the common spatial pattern (CSP) method, which is the spatial feature extraction method most widely used for the motor imagery BCI paradigm, to SSSEP BCI. Experimental results show that our approach, where two CSP methods are applied to the signal of each frequency band, has a performance improvement from 70% to 75%.
Keywords :
bioelectric potentials; brain-computer interfaces; feature extraction; somatosensory phenomena; BCI paradigm; SSSEP analysis; brain-computer interface; common spatial patterns; frequency information; motor imagery; somatosensory cortex areas; spatial feature extraction; spatial information; steady state somatosensory evoked potentials; tactile stimulation; Band-pass filters; Brain-computer interfaces; Electroencephalography; Feature extraction; Steady-state; Transducers; Vectors;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6609986