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  • 标题:Across-subject offline decoding of motor imagery from MEG and EEG
  • 本地全文:下载
  • 作者:Hanna-Leena Halme ; Lauri Parkkonen
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2018
  • 卷号:8
  • 期号:1
  • 页码:10087
  • DOI:10.1038/s41598-018-28295-z
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:-norm regularization. MEG yielded slightly better average accuracies than EEG. With PM training, none of the inter-subject methods yielded above chance level (58.7%) accuracy. In conclusion, MTL and training with other subject's MI is efficient for inter-subject decoding of MI. Passive movements of other subjects are likely suboptimal for training the MI classifiers.
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