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Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation.

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Title: Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation.
Authors: McDermott, Eric J.1,2,3, Metsomaa, Johanna1,2, Belardinelli, Paolo1,2,4, Grosse-Wentrup, Moritz5, Ziemann, Ulf1,2, ulf.ziemann@uni-tuebingen.de, Zrenner, Christoph1,2
Source: Virtual Reality; Mar2023, Vol. 27 Issue 1, p347-369, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Virtual+Reality%22">Virtual Reality</searchLink>; Mar2023, Vol. 27 Issue 1, p347-369, 23p
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      – Type: doi
        Value: 10.1007/s10055-021-00538-x
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      – Code: eng
        Text: English
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      – TitleFull: Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation.
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              Text: Mar2023
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              Y: 2023
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