Active Rehabilitation Technologies for Post-Stroke Patients

  • Hongbei Meng
  • , Zihe Zhao
  • , Shangru Li
  • , Shengbo Wang
  • , Jiacheng Wang
  • , Canxi Yang
  • , Chenyu Tang
  • , Xuhang Chen
  • , Xiaoxue Zhai
  • , Yu Pan
  • , Arokia Nathan
  • , Peter Smielewski
  • , Luigi G. Occhipinti
  • , Shuo Gao*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Neuroplasticity-based active movement opens an avenue for functional recovery in post-stroke patients. Active rehabilitation techniques have attracted wide attention based on their abilities to enhance patient involvement, facilitate precise personalized intervention, and provide comprehensive treatment via cross-domain approaches. Emerging evidence suggests that active rehabilitation methods can respond to patients’ motor intentions in real-time and significantly increase motivation and engagement, leading to efficient utilization of critical recovery windows and better rehabilitation outcomes. In this review, we focus on the physiological basis of active rehabilitation, including mechanisms of neuroplasticity, and discuss recent advances in intent detection and feedback devices. We also examine treatment options for different stages of stroke recovery, providing a comprehensive reference for engineers to design optimized rehabilitation techniques and for clinicians to select appropriate rehabilitation protocols. These developments create new opportunities to improve the lives of stroke patients and offer greater hope for their recovery.

Original languageEnglish
Article number20
JournalBiosensors
Volume16
Issue number1
DOIs
StatePublished - Jan 2026

Keywords

  • active rehabilitation
  • clinical practice
  • feedback intervention
  • intention recognition
  • neuroplasticity
  • stroke

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