Signal identification system for developing rehabilitative device using deep learning algorithms

作者：

Highlights：

• Human computer interface is used to develop rehabilitative device.

• Specific features to detect eye movements are performed.

• Band power features obtain best classification results.

摘要

•Human computer interface is used to develop rehabilitative device.•Specific features to detect eye movements are performed.•Band power features obtain best classification results.

论文关键词：Elecctrooculograpy,Human computer interface,Time delay neural network,Amyotrophic lateral sclerosis,Spinal card injury

论文评审过程：Received 12 September 2019, Revised 26 October 2019, Accepted 5 November 2019, Available online 8 November 2019, Version of Record 4 December 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.101755