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. 2021 May 11;21(10):3316. doi: 10.3390/s21103316

Table A2.

Confusion matrices for deep learning model predictions on each subject.

Headband (HB) Polysomnography (PSG)
Subject 1 graphic file with name sensors-21-03316-i001.jpg graphic file with name sensors-21-03316-i002.jpg
Subject 2 graphic file with name sensors-21-03316-i003.jpg graphic file with name sensors-21-03316-i004.jpg
Subject 3 graphic file with name sensors-21-03316-i005.jpg graphic file with name sensors-21-03316-i006.jpg
Subject 4 graphic file with name sensors-21-03316-i007.jpg graphic file with name sensors-21-03316-i008.jpg
Subject 5 graphic file with name sensors-21-03316-i009.jpg graphic file with name sensors-21-03316-i010.jpg
Subject 6 graphic file with name sensors-21-03316-i011.jpg graphic file with name sensors-21-03316-i012.jpg
Subject 7 graphic file with name sensors-21-03316-i013.jpg graphic file with name sensors-21-03316-i014.jpg
Subject 8 graphic file with name sensors-21-03316-i015.jpg graphic file with name sensors-21-03316-i016.jpg
Subject 9 graphic file with name sensors-21-03316-i017.jpg graphic file with name sensors-21-03316-i018.jpg
Subject 10 graphic file with name sensors-21-03316-i019.jpg graphic file with name sensors-21-03316-i020.jpg
Subject 11 graphic file with name sensors-21-03316-i021.jpg graphic file with name sensors-21-03316-i022.jpg
Subject 12 graphic file with name sensors-21-03316-i023.jpg graphic file with name sensors-21-03316-i024.jpg