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1 Ergebnisse
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EEG signals classification and determination of optimal fea..:
, In:
2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI)
,
Malik, Anjum Naeem
;
Iqbal, Javaid
;
Tiwana, Mohsin I.
- p. 45-49 , 2016
Link:
https://doi.org/10.1109/ICRAI.2016.7791226
RT T1
2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI)
: T1
EEG signals classification and determination of optimal feature-classifier combination for predicting the movement intent of lower limb
UL https://suche.suub.uni-bremen.de/peid=ieee-7791226&Exemplar=1&LAN=DE A1 Malik, Anjum Naeem A1 Iqbal, Javaid A1 Tiwana, Mohsin I. YR 2016 K1 Electroencephalography K1 Electrodes K1 Support vector machines K1 Feature extraction K1 Headphones K1 Data acquisition K1 Mathematical model K1 Brain computer interface (BCI) K1 Electroencephalography (EEG) K1 Average band power K1 k-nearest neighbor (kNN) K1 Naïve Bayes K1 Linear discriminant analysis (LDA) SP 45 OP 49 LK http://dx.doi.org/https://doi.org/10.1109/ICRAI.2016.7791226 DO https://doi.org/10.1109/ICRAI.2016.7791226 SF ELIB - SuUB Bremen
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