Electroencephalography-Based Pain Detection Using Kernel Spectral Connectivity Network with Preserved Spatio-Frequency Interpretability

• Published in: Applied sciences Vol. 15; no. 9; p. 4804
• Main Authors: Buitrago-Osorio, Santiago, Gil-González, Julian, Álvarez-Meza, Andrés Marino, Cardenas-Peña, David, Orozco-Gutierrez, Alvaro
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2025
• Subjects: Biomarkers; Brain research; Chronic pain; cross-subject analysis; Decision making; Decision trees; Deep learning; EEG; Electroencephalography; interpretability; kernel methods; Neural networks; pain detection; Physiology; Support vector machines; Germany

Chronic pain leads to not only physical discomfort but also psychological challenges, such as depression and anxiety, which contribute to a substantial healthcare burden. Pain detection and assessment remains a challenge due to its subjective nature. Current clinical methods may be inaccurate or unf...