M Burghoff , B.-M Mackert , W Haberkorn , G Curio , L Trahms
{"title":"High-resolution magnetoneurography","authors":"M Burghoff , B.-M Mackert , W Haberkorn , G Curio , L Trahms","doi":"10.1016/S0964-1807(99)00013-7","DOIUrl":null,"url":null,"abstract":"<div><p>Low noise dc-SQUID systems allow noninvasive measurements of magnetic fields generated by electric currents in human peripheral nerves. High-resolution magnetoneurography techniques were used to detect the magnetic fields of stimulated leg nerves with amplitudes of only 10–20<!--> <!-->fT over the lower spine. A signal-to-noise ratio of about 10 was achieved after a special designed signal processing routine which was sufficient for an analysis of the source current, i.e. in particular the estimation of its location, strength, and spatial extent.</p></div>","PeriodicalId":100110,"journal":{"name":"Applied Superconductivity","volume":"6 10","pages":"Pages 567-575"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0964-1807(99)00013-7","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Superconductivity","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0964180799000137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Low noise dc-SQUID systems allow noninvasive measurements of magnetic fields generated by electric currents in human peripheral nerves. High-resolution magnetoneurography techniques were used to detect the magnetic fields of stimulated leg nerves with amplitudes of only 10–20 fT over the lower spine. A signal-to-noise ratio of about 10 was achieved after a special designed signal processing routine which was sufficient for an analysis of the source current, i.e. in particular the estimation of its location, strength, and spatial extent.
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