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An EMD based epileptic spike detection method / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 275-279, 2008.
Article in Chinese | WPRIM | ID: wpr-291250
ABSTRACT
The automatic spike detection in EEG is significant in both diagnosing illness and alleviating the heavy labour force of the doctor. This paper proposes a new EMD based method to complete spike detection. It decomposes a signal into a few intrinsic mode functions (IMF), and then applies the nonlinear energy operator (NEO) to the first IMF to complete the automatic detection. Sufficient results are obtained by applying this method to the spike detection of the simulation signal and the real epileptic EEG signal.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Signal Processing, Computer-Assisted / Artifacts / Nonlinear Dynamics / Principal Component Analysis / Electroencephalography / Epilepsy / Methods Type of study: Diagnostic study Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2008 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Signal Processing, Computer-Assisted / Artifacts / Nonlinear Dynamics / Principal Component Analysis / Electroencephalography / Epilepsy / Methods Type of study: Diagnostic study Limits: Humans Language: Chinese Journal: Journal of Biomedical Engineering Year: 2008 Type: Article