ClinicalTrials.gov
public full text
Public Domain
Efficacy of Hand Exoskeleton Controlled by BCI in Post Stroke Patients
The purpose of this study is to assess the efficacy of non-invasive BCI-exoskeleton technology based on EEG patterns recognition matching to motor imagery in post-stroke patients with hand paresis.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- EEG Based BCI for Upper Limb Rehabilitation in Stroke#810847
- BCI for Hemiparetic Upper Extremities in Patients Due to Stroke#826792
- Case Report: post-stroke rehabilitation with a visuomotor transformation-based brain-computer interface.#143373
- Investigation Of The Relationship Between Imagery Ability, Balance And Functionality After Stroke#1086518
- A multi-paradigm and longitudinal EEG dataset including the "sixth-finger" and "affected-hand" motor imagery of stroke patients.#421003
Record · ID 1009639
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive