Real-time brain activity measurement and signal processing system using highly sensitive MI sensor
Kewang Wang, Changmei Cai, Michiharu Yamamoto and 1 more
AIP Advances · 2017
doi:10.1063/1.4974528 (opens in a new tab)
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Abstract
Superconducting Quantum Interference Devices (SQUIDs) are the most used sensor to detect the extremely weak magnetic field of brain. However, the sensor heads need to be kept at very low temperature to maintain superconductivity, and that makes the devices large-scale and inconvenient. In order to measure brain activity in normal environment, we had constructed a measurement system based on highly sensitive Magneto-Impedance (MI) sensor, and reported the study of measuring Auditory Evoked Field (AEF) brain waves. In this study, the system was improved, and the sensor signals can be processed in real-time to monitor brain activity. We use this system to measure the alpha rhythm in the occipital region and the Event-Related Field (ERF) P300 in the frontal, the parietal and both the temporal regions.
Abstract licence: CC BY
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