Automated identification of insomnia using optimal bi-orthogonal wavelet transform technique with single-channel EEG signals

作者：

Highlights：

• A new automated system for detection of insomnia.

• Single-channel EEG, single sleep-stage -based system.

• Novel biorthogonal wavelet-based features used.

• High classification performance.

• Simple, fast and accurate method.

摘要

•A new automated system for detection of insomnia.•Single-channel EEG, single sleep-stage -based system.•Novel biorthogonal wavelet-based features used.•High classification performance.•Simple, fast and accurate method.

论文关键词：EEG (electroencephalography),PSG (polysomnographic),Sleep disorders,Insomnia,Machine learning,Classification,EBDT (ensemble bagged decision trees),Sleep stages

论文评审过程：Received 25 August 2020, Revised 20 April 2021, Accepted 21 April 2021, Available online 24 April 2021, Version of Record 5 May 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107078