A New Statistical Model for Timely-detection of Dynamical Change in EEG Signals

Author:

He Guangshuo1,Lu Guoliang2,Shang Wei1,Xie Zhaohong1,Xu Feng1

Affiliation:

1. Shandong University, China

2. Shandong University and University of Electronic Science and Technology of China, China

Funder

Shandong University Multidisciplinary Research and Innovation Team of Young Scholars

Publisher

ACM

Reference15 articles.

1. Abnormal eeg complexity in patients with schizophrenia and depression;Li Y.;Clinical Neurophysiology.,2008

2. Detecting abnormal pattern of epileptic seizures via temporal synchronization of eeg signals;Miaolin F.;IEEE Transactions on Biomedical Engineering. PP,2018

3. The electroencephalogram in acute cerebrovascular disease: Correlative studies between eeg and clinical pictures;Terao A.;Psychiatry and Clinical Neuroences.,1974

4. Quantitative methods for detecting cerebral infarction from multiple channel eeg recordings;Zhang L.;Neural Computing & Applications.,2007

5. Adaptive subject-based feature extraction in braincomputer interfaces using wavelet packet best basis decomposition;Yang B. H.;Medical Engineering & Physics.,2007

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