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This preliminary study investigates the reliability of power-based EEG metrics, particularly within the beta frequency band, in stroke patients. Seven stroke patients and nine healthy controls participated in various motor tasks aimed at assessing longitudinal neurophysiological changes during rehabilitation. The primary goal was to identify consistent power-based EEG measures, including event-related desynchronization (ERD) and post-movement beta rebound (PMBR), that can reliably track recovery. By establishing reliable metrics, this study aims to improve the precision of EEG-based monitoring tools, facilitating more personalized and effective rehabilitation protocols for stroke patients. These findings may contribute to the development of robust neurophysiological markers critical to optimizing rehabilitation strategies.

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Evaluating EEG Measure Reliability for Enhanced Stroke Rehabilitation Monitoring

  • 会议论文

  • 发表日期：

    2025年

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  • Yolanda Vales,
  • Juan Antonio Barios,
  • José M. Catalán,
  • Andrea Blanco-Ivorra,
  • David Martínez-Pascual,
  • Nicolás García Aracil

摘要

This preliminary study investigates the reliability of power-based EEG metrics, particularly within the beta frequency band, in stroke patients. Seven stroke patients and nine healthy controls participated in various motor tasks aimed at assessing longitudinal neurophysiological changes during rehabilitation. The primary goal was to identify consistent power-based EEG measures, including event-related desynchronization (ERD) and post-movement beta rebound (PMBR), that can reliably track recovery. By establishing reliable metrics, this study aims to improve the precision of EEG-based monitoring tools, facilitating more personalized and effective rehabilitation protocols for stroke patients. These findings may contribute to the development of robust neurophysiological markers critical to optimizing rehabilitation strategies.