Real-time brain activity measurement and signal processing system using highly sensitive MI sensor

Real-time brain activity measurement and signal processing system using highly sensitive MI sensor

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 m...

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Main Authors: Kewang Wang, Changmei Cai, Michiharu Yamamoto, Tsuyoshi Uchiyama
Format: Article
Language:English
Published: AIP Publishing LLC 2017-05-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.4974528
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spelling doaj-8d5fdb1444644ff6a06a2ed7c6eb62022020-11-24T22:17:54ZengAIP Publishing LLCAIP Advances2158-32262017-05-0175056635056635-710.1063/1.4974528139791ADVReal-time brain activity measurement and signal processing system using highly sensitive MI sensorKewang Wang0Changmei Cai1Michiharu Yamamoto2Tsuyoshi Uchiyama3Graduate School of Engineering, Nagoya University, Nagoya, JapanAichi Steel Corporation, Tokai, JapanAichi Steel Corporation, Tokai, JapanGraduate School of Engineering, Nagoya University, Nagoya, JapanSuperconducting 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.http://dx.doi.org/10.1063/1.4974528
collection DOAJ
language English
format Article
sources DOAJ
author Kewang Wang
Changmei Cai
Michiharu Yamamoto
Tsuyoshi Uchiyama
spellingShingle Kewang Wang
Changmei Cai
Michiharu Yamamoto
Tsuyoshi Uchiyama
Real-time brain activity measurement and signal processing system using highly sensitive MI sensor
AIP Advances
author_facet Kewang Wang
Changmei Cai
Michiharu Yamamoto
Tsuyoshi Uchiyama
author_sort Kewang Wang
title Real-time brain activity measurement and signal processing system using highly sensitive MI sensor
title_short Real-time brain activity measurement and signal processing system using highly sensitive MI sensor
title_full Real-time brain activity measurement and signal processing system using highly sensitive MI sensor
title_fullStr Real-time brain activity measurement and signal processing system using highly sensitive MI sensor
title_full_unstemmed Real-time brain activity measurement and signal processing system using highly sensitive MI sensor
title_sort real-time brain activity measurement and signal processing system using highly sensitive mi sensor
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2017-05-01
description 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.
url http://dx.doi.org/10.1063/1.4974528
work_keys_str_mv AT kewangwang realtimebrainactivitymeasurementandsignalprocessingsystemusinghighlysensitivemisensor
AT changmeicai realtimebrainactivitymeasurementandsignalprocessingsystemusinghighlysensitivemisensor
AT michiharuyamamoto realtimebrainactivitymeasurementandsignalprocessingsystemusinghighlysensitivemisensor
AT tsuyoshiuchiyama realtimebrainactivitymeasurementandsignalprocessingsystemusinghighlysensitivemisensor
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