ClinicalTrials.gov
public full text
Public Domain
Robotic Upper-Limb Neurorehabilitation in Chronic Stroke Patient
We have established the feasibility and effectiveness of robot-aided rehabilitation in stroke patients using a robot for neurological rehabilitation designed and built by MIT. Results of a pilot study of 20 patients were promising and showed that robot therapy is safe, tolerated by patients and produces a significant, measurable benefit. We propose to test that the robotic upper extremity trainer is an acceptable cost effective adjunct to standard occupational therapy for patients with dysfunction of the shoulder and elbow due to hemiparetic stroke in a VA rehabilitation program.
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
- The Influence of EMG-triggered Robotic Movement on Function and Mobility of Stroke Patients#968891
- Effects of the Action Observation Therapy and Robotic Rehabilitation on the Upper-Limb Motor Function in Stroke#1093281
- Robotic Rehabilitation Vs Occupational Therapy Chronic Stroke Upper Limb Rehabilitation#882278
- New Technology for Individualised, Intensive Training of Gait After Stroke- Study II#904645
- Efficacy of End-Effector Robot-Assisted Gait Training in Subacute Stroke Patients#1114332
Record · ID 994980
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