@article{carra2013sensorimotor,
  title = {Sensorimotor Rhythms to Control a Wheelchair},
  author = {Michel Carra and Alexandre Balbinot},
  year = 2013,
  url = {https://ibimapublishing.com/articles/RNIJ/2013/113945/},
  journal = {Research in Neurology: An International Journal},
  volume = 2013 (2013),
  pages = 15,
  doi = 10.5171/2013.113945,
  abstract = {This paper shows the development of a non-invasive BCI system using brain signals from somatosensory cortex. The acquisition of signals was performed using one electrode cap in accordance with 10-20 system and using 3-channel EEG in order to command a motorized wheel chair without involvement of peripheral nerves and muscles. Two experiments were carried out with untrained volunteers performing imaginary two movements, and several aspects are evaluated, such as the method of selection and feature extraction, hit rates classification, application of a database for comparison, as well as the general evaluation of the system. Hit rates (average) of 74.9% were obtained from the three best volunteers of the experiment with two movements. In the experiment with the wheelchair, 65.7% hit rates (average) were obtained for two directions, respectively.},
  keywords = {Brain-Computer Interface (BCI); 10-20 System; Electroencephalography; Classifier Learning Vector Quantization},
  note = Article ID: 113945
}