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1
Prediction of Epileptic Seizures Based on Analysis of Elect..:
, In:
2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)
,
Zerrouk, Yann
;
Ivanko, Kateryna
;
Ivanushkina, Nataliia
... - p. 440-445 , 2022
Link:
https://doi.org/10.1109/ELNANO54667.2022.9927003
RT T1
2022 IEEE 41st International Conference on Electronics and Nanotechnology (ELNANO)
: T1
Prediction of Epileptic Seizures Based on Analysis of Electrical Activity of the Brain and Parameters of Heart Rate Variability
UL https://suche.suub.uni-bremen.de/peid=ieee-9927003&Exemplar=1&LAN=DE A1 Zerrouk, Yann A1 Ivanko, Kateryna A1 Ivanushkina, Nataliia A1 Korniienko, Anton A1 Basarab, Marko A1 Porieva, Hanna YR 2022 SN 2693-3535 K1 Support vector machines K1 Electrocardiography K1 Brain modeling K1 Electroencephalography K1 Indexes K1 Heart rate variability K1 Task analysis K1 EEG K1 ECG K1 biomedical signal processing K1 epileptic seizures K1 heart rate variability K1 classification K1 machine learning SP 440 OP 445 LK http://dx.doi.org/https://doi.org/10.1109/ELNANO54667.2022.9927003 DO https://doi.org/10.1109/ELNANO54667.2022.9927003 SF ELIB - SuUB Bremen
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