In this paper, the accuracy in classifying Motor Imagery (MI) tasks for a Brain-Computer Interface (BCI) is analyzed. Electroencephalographic (EEG) signals were taken into account, notably by employing one channel per time. Four classes were to distinguish, i.e. imagining the movement of left hand, right hand, feet, or tongue. The dataset '2a' of BCI Competition IV (2008) was considered. Brain signals were processed by applying a short-time Fourier transform, a common spatial pattern filter for feature extraction, and a support vector machine for classification. With this work, the aim is to give a contribution to the development of wearable MI-based BCIs by relying on single channel EEG.
Metrological performance of a single-channel brain-computer interface based on motor imagery / Angrisani, L.; Arpaia, P.; Donnarumma, F.; Esposito, A.; Moccaldi, Nicola; Parvis, M.. - Volume 2019-May:(2019). (Intervento presentato al convegno 2019 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2019 tenutosi a Auckland; Nuova Zelanda; nel 20-23 maggio 2019) [10.1109/I2MTC.2019.8827168].
Metrological performance of a single-channel brain-computer interface based on motor imagery
L. Angrisani;P. Arpaia;A. Esposito;Moccaldi, Nicola;
2019
Abstract
In this paper, the accuracy in classifying Motor Imagery (MI) tasks for a Brain-Computer Interface (BCI) is analyzed. Electroencephalographic (EEG) signals were taken into account, notably by employing one channel per time. Four classes were to distinguish, i.e. imagining the movement of left hand, right hand, feet, or tongue. The dataset '2a' of BCI Competition IV (2008) was considered. Brain signals were processed by applying a short-time Fourier transform, a common spatial pattern filter for feature extraction, and a support vector machine for classification. With this work, the aim is to give a contribution to the development of wearable MI-based BCIs by relying on single channel EEG.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
