ClinicalTrials.gov
public full text
Public Domain
Efficacy Study of FES Controlled by Electromyographic Signal for the Treatment of Upper Limb in Post-stroke Patients
Goal of the present study is to evaluate the efficacy of Myoelectrically-controlled Functional Electrical Stimulation (MeCFES) for the rehabilitation of upper limb in post-stroke patients. MeCFES-assisted rehabilitation will be compared with usual care rehabilitation of upper limb. It is hypothesized that that applying MeCFES in rehabilitation to assist normal arm movements during rehabilitation of the upper limb in persons with stroke will improve the movement quality and success and thus induce recovery at the body functions level (impairment) and the activity level (disability) of the International Classification of Function (ICF) superior to that induced by usual care rehabilitation.
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
- Sensor-based Technology for Upper Limb Rehabilitation#881150
- Upper Limb Muscle Strength Models for Patients With Motor Impairment.#912603
- Effects of Transcranial Magnetic Stimulation Associated to Sensory Therapy for Treatment of Motor Function of Upper Limb of Stroke Patients#1151009
- Robotics for Mobility Rehabilitation in MS#1369544
- Self-directed Upper Limb Training Using a SaeboFlex in Acute Stroke#831830
Record · ID 1195846
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