Improved Patient-Independent Seizure Detection System Using Novel Feature Extraction Techniques
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-3346-1_71
Reference10 articles.
1. Sriraam, N., & Raghu, S. (2017). Classification of focal and non focal epileptic seizures using multi-features and SVM classifier. Journal of Medical Systems, 41(10), 1–14.
2. Chakrabarti, S., Swetapadma, A., Ranjan, A., & Pattnaik, P. K. (2020). Time domain implementation of pediatric epileptic seizure detection system for enhancing the performance of detection and easy monitoring of pediatric patients. Biomedical Signal Processing and Control, 59, 101930.
3. Zabihi, M., Kiranyaz, S., Jäntti, V., Lipping, T., & Gabbouj, M. (2019). Patient-specific seizure detection using nonlinear dynamics and nullclines. IEEE Journal of Biomedical and Health Informatics, 24(2), 543–555.
4. Correa, A. G., Orosco, L. L., Diez, P., & Leber, E. L. (2019). Adaptive filtering for epileptic event detection in the EEG. Journal of Medical and Biological Engineering, 39(6), 912–918.
5. Sadeghzadeh, H., Hosseini-Nejad, H., & Salehi, S. (2019). Real-time epileptic seizure prediction based on online monitoring of pre-ictal features. Medical and Biological Engineering and Computing, 57(11), 2461–2469.
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