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1 Ergebnisse
1
Entropy and Coherence Features in EEG-Based Classification ..:
, In:
2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
,
Criscuolo, Sabatina
;
Cataldo, Andrea
;
De Benedetto, Egidio
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/I2MTC60896.2024.10560664
RT T1 <cTitle>2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)</cTitle>: T1 <Title>Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10560664&Exemplar=1&LAN=DE A1 Criscuolo, Sabatina A1 Cataldo, Andrea A1 De Benedetto, Egidio A1 Masciullo, Antonio A1 Pesola, Marisa A1 Schiavoni, Raissa YR 2024 SN 2642-2077 K1 Support vector machines K1 Accuracy K1 Coherence K1 Brain modeling K1 Electroencephalography K1 Entropy K1 Reproducibility of results K1 Brain complexity K1 Alzheimer's disease K1 multiscale fuzzy entropy K1 synchronization K1 magnitude squared coherence K1 support vector machine K1 machine learning K1 classification SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/I2MTC60896.2024.10560664 DO https://doi.org/10.1109/I2MTC60896.2024.10560664 SF ELIB - SuUB Bremen
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