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Phd
(6 年)
出版物
Novel quadratic time-frequency features in EEG signals for robust detection of epileptic seizure
Research on Biomedical Engineering
Epilepsy is a chronic neurological disorder characterized by recurrent convulsions. Therapists seek to recognize
epilepsy patterns in Electroencephalogram (EEG) signals through visual inspection. However, this procedure is costly, time-
consuming, and sensitive to bias. Therefore, in this proof-of-concept investigation, we developed an automatic method of
epileptic seizure detection. The deployed approach includes novel time-frequency features of EEG data.
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