Effective Elimination of Power Supply Noise from MEG Data using Blind Source Separation

H. Fukai and K. Kishida (Japan)


MEG, Blind Source Separation, Power Supply Noise


We can not avoid the contamination of power supply noise in magnetencepharography (MEG) measurements. The power supply noise are usually eliminated by notch filters but which also affect signals from brain activities and it is difficult to remove the noise clearly. To utilize MEG's ad vantage of high temporal resolution, effective elimination of power supply noise is required. In this study, we ap ply blind source separation (BSS) technique to eliminate the power supply noise with high precision. We clarify the properties of the component of decomposed power supply noise and estimate the degree of eliminating performance.

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