Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography

Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography

Abstract Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previous studies using fMRI and EEG have attempted objective pain evaluation, their focus has been limited to resting conditions. This study aimed to classify pain levels during movement using a w...

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Bibliographic Details
Main Authors: Hirotatsu Imai, Yuya Kanie, Shusuke Yoshimoto, Natsuki Yamamoto, Masayuki Furuya, Takahito Fujimori, Seiji Okada
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Electroencephalography
Artificial intelligence
Movement-related pain
Tourniquet pain
Leg blood flow restriction
Frequency spectrum
Online Access:https://doi.org/10.1038/s41598-025-13433-1
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https://doi.org/10.1038/s41598-025-13433-1

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