Abstract
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.
This work was sponsored by ETRI System Semiconductor Industry Promotion Center, human resource development project for SoC convergence.
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Jeong, EG., Moon, B., Lee, YH. (2011). A Platform for Real Time Brain-Waves Analysis System. In: Kim, Th., et al. Grid and Distributed Computing. GDC 2011. Communications in Computer and Information Science, vol 261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27180-9_53
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DOI: https://doi.org/10.1007/978-3-642-27180-9_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27179-3
Online ISBN: 978-3-642-27180-9
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