In this paper, we introduce an automatic spike detection method in epileptic EEG based on morphological filter.
Abstract – Epileptic electroencephalogram data contains transient components and background activities. One of the transients is spike, which occurs.
An automatic spike detection method in epileptic EEG based on morphological filter is introduced and results show that background activity is fully ...
In this paper, a spike detection method is introduced. Traditional morphological filter is improved for extracting spikes from epileptic EEG signals and two ...
This method is shown to be accurate on 91.62% of centrotemporal spikes [10] . Due to this high reliability morphological filtering was chosen for automatic ...
Here an automatic EEG spike detection method that uses morphological filter is ... data stored in database using some data mining algorithms, which is much ...
Oct 4, 2022 · A reliable technique for removing spikes and sharp transients from the baseline of the brain signal using a morphological filter.
In this paper, we propose an automatic spike detection algorithm in which piecewise optimal morphological filters are designed to separate action potentials ( ...
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What is spike detection algorithm?
Why do we filter EEG?
In order to detect the abnormality in brain signals, it is essential to study the behavior of spikes in. Electroencephalogram (EEG).
Morphological filter is used for the spike detection, in which optimal structuring elements are computed by the hybrid optimization technique as GA-PSO. After ...