A machine learning pipeline approach detecting driver fatigue based on EEG signals

Sleep disorders and sleep problems might lead to non-restorative sleep and in consequence to excessive daytime sleepiness. Excessive daytime sleepiness impairs performance and may cause accidents when driving. Therefore, whenever an accident occurred related to sleepiness, an assessment for sleep disorders is recommended. Often patient files needs to be reviewed by another sleep expert. A secure exchange of patient files and sleep recordings are required. In the project described here, a secure and safe encrypted data transmission is developed for both, patient data, and sleep signal data transmission between expert sleep medicine centers. This sleep medicine demonstrator is evaluated in a pilot study between two accredited centers with experience in sleep medicine. The exchange with encryption and decryption was implemented successfully. The implementation could be integrated in corresponding platforms for exchanging sleep medicine data.