Detection of epileptic seizures from compressively sensed EEG signals for wireless body area networks

作者：

Highlights：

• Novel features for seizure detection from compressive EEG measurements are proposed.

• The performance of the proposed features are evaluated using two well-known databases.

• The features accurately detect seizures at the compression ratios as small as 0.05.

• The features can be used for real-time tele-monitoring of epilepsy patients.

摘要

•Novel features for seizure detection from compressive EEG measurements are proposed.•The performance of the proposed features are evaluated using two well-known databases.•The features accurately detect seizures at the compression ratios as small as 0.05.•The features can be used for real-time tele-monitoring of epilepsy patients.

论文关键词：EEG,Epileptic seizure,Compressive sensing,Wireless body area networks,Partial energy difference feature

论文评审过程：Received 3 July 2020, Revised 10 December 2020, Accepted 16 January 2021, Available online 23 January 2021, Version of Record 5 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114630