ClinicalTrials.gov
public full text
Public Domain
Feasibility Study for Enhancing Gait Following Stroke With Implanted Microstimulators
The purpose of this study is to test an innovative, advanced FNS microstimulator technology developed by the Alfred Mann Foundation (Santa Clarita, CA) called, the Radio Frequency Microstimulation (RFM) Gait System that promises to provide FNS training for restoration of functional gait components in a manner at least as efficacious as current investigational FNS systems. The design features of the RFM Gait System are intended to address the problems with the current FNS systems. The RFM implant devices are small enough to be inserted using only a 5 mm incision\[3\]. Because both the electrode (anode and cathode) are contained within the microstimulator, there are no lead wires traversing the skin, joints, or torso/limb junctures. Individual RFMs can be inserted at the motor points and nerves of each of the paretic muscles in the involved limb and coordinated using radio frequency technology.
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
- Enhancing Function Using the RF Microstimulator Gait System Following Stroke 2008#1124387
- The Application of Microcurrent in Athletes#1322649
- Implantable device with fuses and actuators of microscale for programmed pulsatile drug deliveries#1159873
- A Comparative Study of In-vivo Wear Between 28 mm and 40 mm Metal Heads#825370
- BCI-Assisted SCS-EXS for Gait Optimization#1281545
Record · ID 1261295
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