• wearable eeg
• sleep deprivation
• drowsiness
• artificial neural network

Surgeons that experience sleep restriction and deprivation, may have attentional lapses: the onset of lapses and microsleeps increase the probability of making medical errors, compromising patient's safety. Electroencephalography (EEG) is a gold standard tecnique for monitoring cortical electrical activity and it can objectively measure and track drowsiness. However, EEG cannot be worn during daily work's shift due to its encumbrance and bulk. The aims of this study is to design an EEG device that is miniaturized, wearable, lightweight, motion tolerant. The device sends the EEG signals through a wireless communication to an external device where they will be processed using classification algorithms able to detect drowsy states.