Real-time detection of EEG electrode displacement for Brain-Computer Interface applications

Electroencephalography (EEG) has a relatively old history since Hans Berger in 1929 recorded the human brain activity for the very first time. Since then, a number of experiments had led to a strengthened employment of this technology both in the clinical practice and in the most advanced research platforms. Although amazing developments have already been achieved, no gold standards are available for the processing of EEG signals. However, EEG signal processing used in several applications of Brain-Computer Interface (BCI) has already promised unbelievable progresses. In the context of a specific BCI application, this paper deals with a particular kind of artifact due to electrode-pops that can degrade the EEG recordings and, consequently, make BCI give wrong outputs to patients operating it for their benefit in recovery or in daily life.