Predicting age, cognitive scores, and sleep stages from sleep EEG with a multi-task deep neural network using the Framingham Heart Study

W. Ganglberger, N. Adra, H. Sun, S. Nasiri, T. Nassi, H.-P. Landolt, R. Huber, R.J. Thomas, M.B. Westover

Research output: Contribution to journal › Article › Academic › peer-review

Keywords

@article{5f453257252b49e1b4b5ae4584d5732e,

title = "Predicting age, cognitive scores, and sleep stages from sleep EEG with a multi-task deep neural network using the Framingham Heart Study",

keywords = "UT-Hybrid-D",

author = "W. Ganglberger and N. Adra and H. Sun and S. Nasiri and T. Nassi and H.-P. Landolt and R. Huber and R.J. Thomas and M.B. Westover",

year = "2022",

month = dec,

doi = "10.1016/j.sleep.2022.05.107",

language = "English",

volume = "100",

pages = "S35--S35",

journal = "Sleep Medicine",

issn = "1389-9457",

publisher = "Elsevier B.V.",

number = "Suppl. 1",

}

TY - JOUR

T1 - Predicting age, cognitive scores, and sleep stages from sleep EEG with a multi-task deep neural network using the Framingham Heart Study

AU - Ganglberger, W.

AU - Adra, N.

AU - Sun, H.

AU - Nasiri, S.

AU - Nassi, T.

AU - Landolt, H.-P.

AU - Huber, R.

AU - Thomas, R.J.

AU - Westover, M.B.

PY - 2022/12

Y1 - 2022/12

KW - UT-Hybrid-D

U2 - 10.1016/j.sleep.2022.05.107

DO - 10.1016/j.sleep.2022.05.107

M3 - Article

SN - 1389-9457

VL - 100

SP - S35-S35

JO - Sleep Medicine

JF - Sleep Medicine

IS - Suppl. 1

ER -