MMSFL-OWFB: A novel class of orthogonal wavelet filters for epileptic seizure detection

作者：

Highlights：

• A novel frequency localized orthogonal wavelet-based method for EEG seizure detection.

• Filter design problem formulated as a convex SDP.

• Global optimal solution obtained.

• Two widely used independent databases employed to establish robustness.

• High classification performance attained.

摘要

•A novel frequency localized orthogonal wavelet-based method for EEG seizure detection.•Filter design problem formulated as a convex SDP.•Global optimal solution obtained.•Two widely used independent databases employed to establish robustness.•High classification performance attained.

论文关键词：EEG,Epilepsy,Seizures,Optimal orthogonal filter banks,Wavelets,Bandwidth,Frequency spread,SDP

论文评审过程：Received 14 February 2018, Revised 6 July 2018, Accepted 8 July 2018, Available online 10 July 2018, Version of Record 12 September 2018.

论文官网地址：https://doi.org/10.1016/j.knosys.2018.07.019