TY - GEN
T1 - A platform for real time brain-waves analysis system
AU - Jeong, Eun Gyu
AU - Moon, Byungin
AU - Lee, Yong Hwan
PY - 2011
Y1 - 2011
N2 - There are many methods for human-computer interface. Recently, many researchers are studying about brain-signal. This is because not only the disabled can use a computer by their thought without their limbs but also it is convenient to general people. In this paper, we propose a platform for the real time electroencephalogram(EEG) and magnetoencephalography(MEG) analysis system. The signals on the scalp are so weak. Thus, the signals must be amplified by the amplifier. Filters are used to filter the incoming continuous signal before it is sampled by the analog-to-digital converter(ADC). The filtered EEG and MEG are analyzed and compacted by using FFT and JPEG2000, respectively. The platform is easy to reuse because of its simple block architecture and is implemented as a single chip on the Xilinx Virtex5 FPGA development board.
AB - There are many methods for human-computer interface. Recently, many researchers are studying about brain-signal. This is because not only the disabled can use a computer by their thought without their limbs but also it is convenient to general people. In this paper, we propose a platform for the real time electroencephalogram(EEG) and magnetoencephalography(MEG) analysis system. The signals on the scalp are so weak. Thus, the signals must be amplified by the amplifier. Filters are used to filter the incoming continuous signal before it is sampled by the analog-to-digital converter(ADC). The filtered EEG and MEG are analyzed and compacted by using FFT and JPEG2000, respectively. The platform is easy to reuse because of its simple block architecture and is implemented as a single chip on the Xilinx Virtex5 FPGA development board.
KW - BCI
KW - Brain-computer interface
KW - EEG
KW - Electroencephalogram
KW - Magnetoencephalography
KW - MEG
UR - http://www.scopus.com/inward/record.url?scp=83755171440&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-27180-9_53
DO - 10.1007/978-3-642-27180-9_53
M3 - Conference contribution
AN - SCOPUS:83755171440
SN - 9783642271793
T3 - Communications in Computer and Information Science
SP - 431
EP - 437
BT - Grid and Distributed Computing - International Conference, GDC 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, Proceedings
T2 - International Conference on Grid and Distributed Computing, GDC 2011, Held as Part of the 3rd International Mega-Conference on Future-Generation Information Technology, FGIT 2011
Y2 - 8 December 2011 through 10 December 2011
ER -