title: Kernel collaborative representation-based automatic seizure detection in intracranial EEG.
abstract: Automatic seizure detection is of great significance in the monitoring and diagnosis of epilepsy. In this study, a novel method is proposed for automatic seizure detection in intracranial electroencephalogram (iEEG) recordings based on kernel collaborative representation (KCR). Firstly, the EEG recordings are divided into 4s epochs, and then wavelet decomposition with five scales is performed. After that, detail signals at scales 3, 4 and 5 are selected to be sparsely coded over the training sets using KCR. In KCR, l2-minimization replaces l1-minimization and the sparse coefficients are computed with regularized least square (RLS), and a kernel function is utilized to improve the separability between seizure and nonseizure signals. The reconstructed residuals of each EEG epoch associated with seizure and nonseizure training samples are compared and EEG epochs are categorized as the class that minimizes the reconstructed residual. At last, a multi-decision rule is applied to obtain the final detection decision. In total, 595 h of iEEG recordings from 21 patients with 87 seizures are employed to evaluate the system. The average sensitivity of 94.41%, specificity of 96.97%, and false detection rate of 0.26/h are achieved. The seizure detection system based on KCR yields both a high sensitivity and a low false detection rate for long-term EEG.
authors: School of Information Science and Engineering, Shandong University, Jinan 250100, P. R. China , Suzhou Institute of Shandong University, Suzhou 215123, P. R. China.
authors: Shasha
authors: S
authors: Yuan
authors: Weidong
authors: W
authors: Zhou
authors: Qi
authors: Q
authors: Yuan
authors: Xueli
authors: X
authors: Li
authors: Qi
authors: Q
authors: Wu
authors: Xiuhe
authors: X
authors: Zhao
authors: Jiwen
authors: J
authors: Wang
mesh_terms: D001331:Automation / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D012640:Seizures / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted; D060388:Support Vector Machine
keywords: EEG; Seizure detection; kernel collaborative representation; wavelet