Dry EEG and fNIRS signal analysis in the frequency domainCase of study of pain detection with wearables devices

Abstract

This study explores pain detection and analysis using wearable dry electroencephalography and functional near-infrared spectroscopy. Pain differs greatly from person to person and is affected by social, psychological, and biological variables. New advances in neurophysiological monitoring present encouraging opportunities to assess pain reactions in real time. We investigated neural and hemodynamic reactions to painful stimuli in the frequency domain using a combination of open-access datasets and real-time EEG and fNIRS data. Our findings demonstrate significant increases in theta, alpha, and beta frequency bands following pain administration, highlighting the brain’s dynamic reaction to pain. In addition to improving our understanding of pain mechanisms, the integration of different modalities opens the door to new methods of clinical pain assessment and treatment. The portability and noninvasiveness of these technologies underscore their potential for broad use in therapeutic and research settings, especially when targeting frequency-specific pain responses.