Narrative ReviewJournal of neuroengineering and rehabilitation2025

Closed-loop rehabilitation of upper-limb dyskinesia after stroke: from natural motion to neuronal microfluidics.

Honggang Wang, Junlong Guo, Yangqi Zhang, Ze Fu, Yufeng Yao

PMID 40253334

WHAT IT FOUND

This paper proposes a future system where sensors, robots, and lab-on-a-chip technology work together to adapt stroke rehabilitation in real time.

It describes the theoretical links between these technologies but reports no clinical trial results or patient outcomes.

What this paper is

This is a narrative review describing a theoretical framework for closed-loop upper-limb rehabilitation after stroke. It discusses technologies like rehabilitation robots, motion sensors, and neuronal microfluidics, but it does not present original clinical data, patient outcomes, or tested interventions. There is no finding here to change your practice on.

The easy way to misread this

Do not interpret the proposed closed-loop system or the described technologies as clinically available or proven effective. This is a theoretical framework for future research, not a report of a treatment that has been tested on patients.

Read it on PubMed →


The study

Certainty of evidence
Low

Browse

    Cite

    Honggang Wang, Junlong Guo, Yangqi Zhang, et al. Closed-loop rehabilitation of upper-limb dyskinesia after stroke: from natural motion to neuronal microfluidics. Journal of neuroengineering and rehabilitation. 2025.

    Read the original

    Closed-loop rehabilitation of upper-limb dyskinesia after stroke: from natural motion to neuronal microfluidics. — Applied Evidence