A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm.

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Title: A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm.
Authors: Khan, Rabia Avais1 (AUTHOR), Rashid, Nasir1,2 (AUTHOR) n.rashid@ceme.nust.edu.pk, Shahzaib, Muhammad1 (AUTHOR), Malik, Umar Farooq1 (AUTHOR), Arif, Arshia1 (AUTHOR), Iqbal, Javaid1,2 (AUTHOR), Saleem, Mubasher1 (AUTHOR), Khan, Umar Shahbaz1,2 (AUTHOR), Tiwana, Mohsin1,2 (AUTHOR)
Source: PLoS ONE. 9/8/2023, Vol. 18 Issue 9, p1-18. 18p.
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  Data: A novel framework for classification of two-class motor imagery EEG signals using logistic regression classification algorithm.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 9/8/2023, Vol. 18 Issue 9, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=171853753
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        Value: 10.1371/journal.pone.0276133
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              Text: 9/8/2023
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