Development of Early Prediction Model for Epileptic Seizures
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-7641-1_11
Reference32 articles.
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3. http://www.who.int/mental_health/media/en/639.pdf
4. Adelson PD, Nemoto E, Scheuer M, Painter M, Morgan J et al (1999) Noninvasive continuous monitoring of cerebral oxygenation periictally using near-infrared spectroscopy: a preliminary report. Epilepsia 40:1484–1489. https://doi.org/10.1111/j.1528-1157.1999.tb02030.x
5. Moghim N, Corne DW (2014) Predicting epileptic seizures in advance. PLoS ONE 9(6):e99334. https://doi.org/10.1371/journal.pone.0099334
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1. A ResNet-LSTM hybrid model for predicting epileptic seizures using a pretrained model with supervised contrastive learning;Scientific Reports;2024-01-15
2. A fuzzy sensitivity analysis approach to estimate brain effective connectivity and its application to epileptic seizure detection;Biomedical Engineering / Biomedizinische Technik;2021-12-20
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