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A Hybrid LSTM-DBN Approach for Automatic Epileptic Seizure ..:
, In:
2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)
,
Cherukuvada, Srikanth
;
Kayalvizhi, R.
- p. 970-976 , 2023
Link:
https://doi.org/10.1109/ICIRCA57980.2023.10220694
RT T1 <cTitle>2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA)</cTitle>: T1 <Title>A Hybrid LSTM-DBN Approach for Automatic Epileptic Seizure Detection compared with Normal Human Activity using EEG Signals</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10220694&Exemplar=1&LAN=DE A1 Cherukuvada, Srikanth A1 Kayalvizhi, R. YR 2023 K1 Support vector machines K1 Training K1 Epilepsy K1 Neurostimulation K1 Brain modeling K1 Prediction algorithms K1 Feature extraction K1 Electroencephalogram (EEG) K1 Deep Learning (DL) K1 Machine Learning (ML) algorithms K1 Seizure Prediction (SP) SP 970 OP 976 LK http://dx.doi.org/https://doi.org/10.1109/ICIRCA57980.2023.10220694 DO https://doi.org/10.1109/ICIRCA57980.2023.10220694 SF ELIB - SuUB Bremen
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