Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigms

Under CopyrightDornhege, G.G.DornhegeBlankertz, B.B.BlankertzCurio, G.G.CurioMüller, K.-R.K.-R.Müller2022-03-0728.04.20042004https://publica.fraunhofer.de/handle/publica/29207210.24406/publica-fhg-292072Abstract S.1 1 Introduction S.1 2 Neurophysiological background S.2 3 Combining classifiers: theoretical aspects S.3 4 Multi-class paradigms: theoretical aspects S.4-5 5 Data acquisition and Feature Extraction S.6-10 6 Results S.11-14 7 Discussion S.15 Acknowledgments S.15 References S.15-17en004006Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigmsreport