LSTM network as a screening tool to detect moderate traumatic brain injury from resting-state electroencephalogram

作者：

Highlights：

• An LSTM network is proposed to detect moderate traumatic brain injury.

• The input for the network is the resting-state electroencephalogram.

• The network has a higher average classification accuracy as compared with others.

摘要

•An LSTM network is proposed to detect moderate traumatic brain injury.•The input for the network is the resting-state electroencephalogram.•The network has a higher average classification accuracy as compared with others.

论文关键词：Recurrent neural networks,Electroencephalography,Traumatic brain injury,LSTM

论文评审过程：Received 22 April 2020, Revised 19 January 2022, Accepted 24 February 2022, Available online 12 March 2022, Version of Record 18 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116761