Pain Detection with EEG using Phase Indexes

Diego Blanco Mora1, José Alejandro Díaz Méndez2

  • 1INAOE
  • 2Instituto Nacional de Astrofísica, Óptica y Electrónica

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Category

4-Page Contributed Papers (Poster)

Sessions

12:00 - 13:45 | Mon 6 Nov | Auditorium Foyer, E1/E2, Upper Atrium Space | MLunch_Break

Lunch, Posters and POC Technologies Demonstrations – Session I

Abstract

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.

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