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High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources
Published on: November 26, 2016
Validation of a low-cost EEG device for mood induction studies
Alejandro Rodríguez1, Beatriz Rey, Mariano Alcañiz
1Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, I3BH/LabHuman, Camino de Vera s/n, 46022 Valencia, España.
Studies in Health Technology and Informatics
|June 25, 2013
Summary
This study validates a low-cost electroencephalography (EEG) device for emotional research. The Emotiv Epoc successfully monitored brain activity during positive mood induction, showing reliable frontal EEG asymmetry.
Area of Science:
- Neuroscience
- Psychology
- Human-Computer Interaction
Background:
- Emergence of affordable, portable electroencephalography (EEG) devices.
- Potential for EEG in economic and Virtual Reality (VR) compatible emotional studies.
- Need to validate low-cost EEG for reliable neurophysiological data.
Purpose of the Study:
- To validate the Emotiv Epoc, a low-cost EEG device, for monitoring brain activity.
- To assess the device's reliability during a positive emotional induction procedure.
- To explore its utility in future mood induction and VR research.
Main Methods:
- Utilized the Emotiv Epoc device for electroencephalography data acquisition.
- Employed the International Affective Picture System (IAPS) to induce positive emotions.
- Compared brain activity between positive emotional and neutral conditions in 16 participants.
Main Results:
- Observed changes in brain activity consistent with frontal EEG asymmetry.
- Results align with established findings in affective neuroscience literature.
- Demonstrated the device's capability to detect neurophysiological markers of emotional states.
Conclusions:
- The Emotiv Epoc is a viable, low-cost tool for mood induction studies.
- Its reliability supports integration into VR-based emotional research.
- Further research can leverage this technology for accessible affective computing.

