Seizure Detection Using Deep Discriminative Multi-set Canonical Correlation Analysis
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-66785-6_15
Reference24 articles.
1. Mohseni, H., Maghsoudi, A., Shamsollahi, M.B.: Seizure detection in EEG signals: a comparison of different approaches. In: International Conference of the IEEE Engineering in Medicine and Biology Society, New York, USA, August 2006, pp. 6724–6727 (2006)
2. Sharmila, A., Geethanjali, P.: A review on the pattern detection methods for epilepsy seizure detection from EEG signals. Biomed. Eng. 64(5), 507–517 (2019)
3. Sharmila, A.: Epilepsy detection from EEG signals: a review. J. Med. Eng. Technol. 42(5), 368–380 (2018)
4. Srinivasan, V., Eswaran, C., Sriraam, N.: Artificial neural network based epileptic detection using time-domain and frequency-domain features. J. Med. Syst. 29(6), 647–660 (2005). https://doi.org/10.1007/s10916-005-6133-1
5. Tzallas, A.T., Tsipouras, M.G., Fotiadis, D.I.: Epileptic seizure detection in EEGs using time-frequency analysis. IEEE Trans. Inf. Technol. Biomed. 13(5), 703–710 (2009)
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