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Background Noise Reduction by Software Methods in the 37-channel SQUID Magnetometer System  

김기웅 (한국표준과학연구원 초전도그룹)
이용호 (한국표준과학연구원 초전도그룹)
권혁찬 (한국표준과학연구원 초전도그룹)
김진목 (한국표준과학연구원 초전도그룹)
강찬석 (고려대학교 물리학과)
Publication Information
Journal of Biomedical Engineering Research / v.24, no.3, 2003 , pp. 167-173 More about this Journal
Abstract
Measuring subtle neuromagnetic signals requires eliminating background noises. Especially, a SQUID magnetometer is very sensitive to the magnetic noise even from a distant source. As typical software methods, we use the synthetic gradiometer of the adaptive filtering to reduce the noises. In this article, we present noise reduction effects in our 37-channel SQUID magnetometer system by applying each method including the frequency-domain adaptive filtering and discuss a selective application of the methods to the detection of clinical magnetoencephalogram signals.
Keywords
Magnetoencephalogram; Noise reduction; Adaptive filtering;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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