Abstract
This chapter presents a different clustering technique for detecting epileptic seizures from EEG signals. This algorithm uses all the data points of every EEG signal. This algorithm uses all the data points of every EEG signal and reduces computational complexicity.
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Siuly, S., Li, Y., Zhang, Y. (2016). A Novel Clustering Technique for the Detection of Epileptic Seizures. In: EEG Signal Analysis and Classification. Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-47653-7_5
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DOI: https://doi.org/10.1007/978-3-319-47653-7_5
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