Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model

作者：

Highlights：

• A 4 state moving robot based on EEG is designed for Locked in State Persons with spine injury.

• Continuous wavelet transform based wavelet features are extracted.

• Optimized neural network is used to classify achieves over 93 % accuracy.

摘要

•A 4 state moving robot based on EEG is designed for Locked in State Persons with spine injury.•Continuous wavelet transform based wavelet features are extracted.•Optimized neural network is used to classify achieves over 93 % accuracy.

论文关键词：Locked in state,Continuous Wavelet Transform,Spinal Cord Injury,Information Transfer Rate,Brain Computer Interface,Whale Optimization Algorithm,Electroencephalogram

论文评审过程：Received 17 September 2019, Revised 16 November 2019, Accepted 18 November 2019, Available online 19 November 2019, Version of Record 4 December 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.101766