ClinicalTrials.gov
public full text
Public Domain
Robot-Assisted Tai Chi for Upper Limb Rehabilitation in Stroke Patients
This study aims to compare the effectiveness of Robot-Assisted Tai Chi Training (RATT) versus conventional rehabilitation in improving upper limb motor function post-stroke, and to explore the neuromuscular mechanisms of RATT. Participants will be randomly assigned to one of two groups: 1. Robot-Assisted Tai Chi Training group: Participants will receive guided Tai Chi arm movements with robotic assistance to enhance coordination and strength. 2. Conventional rehabilitation group: Participants will perform standard exercises (e.g., stretching, repetitive task practice). Both groups will receive 60-minute sessions, administered 5 days a week, over 4 weeks. Researchers will measure improvements using clinical scales (e.g., Fugl-Meyer Assessment) and monitor safety.
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
- Sensory and Cognitive Outcomes of Robotic Exercises in Stroke (SCORES)#904465
- Enhancing the Response to Rehabilitation After Stroke Using Repetitive Transcranial Magnetic Stimulation (rTMS)#885805
- Adjunct Low Frequency Repetitive Transcranial Magnetic Stimulation With Physiotherapy Enhance Upper Extremity Function Restoration#853708
- Effectiveness of Robot-assisted Rehabilitation in Persons With Stroke#1138913
Record · ID 853184
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