Detection of P300 brain waves using a MagnetoImpedance sensor


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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 7 , ISSUE 5 (December 2014) > List of articles

Special issue ICST 2014

Detection of P300 brain waves using a MagnetoImpedance sensor

K. Wang * / S. Tajima / Y. Asano / Y. Okuda / N. Hamada / C. Cai / T. Uchiyama

Keywords : Biomagnetic field measurement; Magneto-Impedance sensor; MEG; P300 brain waves

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-4, DOI:

License : (CC BY-NC-ND 4.0)

Published Online: 15-February-2020



We have previously reported a study on brain activity detection in occipital region using a picotesla-scale MagnetoImpedance (MI) sensor. Based on past studies, the target of the present study was to review the performance of MI sensor on parietal region brain activity detection. Human brain magnetic field is extremely weak, in order to detect the faint magnetic field, we constructed an MI measurement system that can cancel out the background noise (e.g., geomagnetic field) instead of using a magnetic shielding. In this study, we recorded P300 brain waves of subjects, compared our results with our past studies and other EEG and MEG data reported previously. The results confirmed the reliability of our data and indicated that the MI sensor can be applied on brain activity detection.

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