Pain Detection with EEG using Phase Indexes

Diego Blanco Mora • José Alejandro Díaz Méndez

12:00 - 13:45 | Monday 6 November 2017 | Auditorium Foyer, E1/E2, Upper Atrium Space


In this work, EEG signals are used to detect the presence of pain in healthy subjects aiming to apply the same process to non-communicative patients. It was acquired 20 EEGs of healthy subjects in resting and pain state. Pain was induced through a cold pressor test. Phase Indexes as Phase Lag Index, Weighted Phase Lag Index were applied in four frequency bands to detect pain, getting significant results on Beta band for intra-hemispheric short and long distanced couples of electrodes for both indexes and also for inter-hemispheric distanced electrodes for WPLI.