Feature extraction and recognition of ictal EEG using EMD and SVM

S Li, W Zhou, Q Yuan, S Geng, D Cai - Computers in biology and medicine, 2013 - Elsevier
Automatic seizure detection is significant for long-term monitoring of epilepsy, as well as for
diagnostics and rehabilitation, and can decrease the duration of work required when …
被引用次数：360 相关文章

Feature extraction and recognition of ictal EEG using EMD and SVM

S Li, W Zhou, Q Yuan, S Geng, D Cai - Computers in Biology and …, 2013 - dl.acm.org
Automatic seizure detection is significant for long-term monitoring of epilepsy, as well as for
diagnostics and rehabilitation, and can decrease the duration of work required when …

Feature extraction and recognition of ictal EEG using EMD and SVM

S Li, W Zhou, Q Yuan, S Geng… - Computers in biology …, 2013 - pubmed.ncbi.nlm.nih.gov
Automatic seizure detection is significant for long-term monitoring of epilepsy, as well as for
diagnostics and rehabilitation, and can decrease the duration of work required when …

Feature extraction and recognition of ictal EEG using EMD and SVM

S Li, W Zhou, Q Yuan, S Geng, D Cai - Computers in Biology and Medicine, 2013 - infona.pl
Automatic seizure detection is significant for long-term monitoring of epilepsy, as well as for
diagnostics and rehabilitation, and can decrease the duration of work required when …

Feature extraction and recognition of ictal EEG using EMD and SVM.

S Li, W Zhou, Q Yuan, S Geng, D Cai - Computers in Biology and …, 2013 - europepmc.org
Automatic seizure detection is significant for long-term monitoring of epilepsy, as well as for
diagnostics and rehabilitation, and can decrease the duration of work required when …

[引用][C] Feature extraction and recognition of ictal EEG using EMD and SVM

S Li, W Zhou, Q Yuan, S Geng, D Cai - Computers in Biology and …, 2013 - Elsevier Limited