000 | 01368nam a2200169 4500 | ||
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008 | 220311b |||||||| |||| 00| 0 eng d | ||
020 | _a9783030305833 | ||
082 |
_a006.3 _bPAS |
||
100 |
_aPaszkiel, Szczepan _959904 |
||
245 | _aAnalysis and Classification of EEG Signals for Brain Computer Interfaces | ||
260 |
_bSpringer Nature _c2020 _aSwitzerland |
||
300 | _a132p | ||
440 |
_aStudies in Computational Intelligence Ed by Janusz Kacprzyk _n852 _958646 |
||
500 | _aIntroduction Data Acquisition Methods for Human Brain Activity Brain–Computer Interface Technology Using the Moore-Penrose Pseudoinverse for the EEG Signal Reconstruction Using the LORETA Method for Localization of the EEG Signal Sources in BCI Technology Data Analysis of Human Brain Activity Using MATLAB Environment with EEGLAB Using Neural Networks for Classification of the Changes in the EEG Signal Based on Facial Expressions Using BCI Technology for Controlling a Mobile Vehicle Using BCI Technology for Controlling a Mobile Vehicle Using LabVIEW Environment Augmented Reality (AR) Technology in Correlation with Brain–Computer Interface Technology Using BCI and VR Technology in Neurogaming Computer Game in UNITY Environment for BCI Technology Using BCI in IoT Implementation | ||
600 |
_aComputer Engineering _958647 |
||
942 |
_2ddc _cLB |
||
999 |
_c138031 _d138031 |