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RECRUITING
NCT07222085
NA

Long-Term Stability of the Glide Control Strategy

Sponsor: Infinite Biomedical Technologies

View on ClinicalTrials.gov

Summary

This research is intended to test whether the prescription of the Glide prosthesis control system reduces the burden of use for both patients and their clinical care team as compared to use of Pattern Recognition-based advanced myoelectric control. The goal of the study is to fill the gaps in clinically relevant knowledge to inform the prescription of prosthesis components and the rehabilitation process.

Official title: Determining the Long-Term Stability of the Glide Control Strategy for Upper Limb Prostheses

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

12

Start Date

2025-10-15

Completion Date

2029-04

Last Updated

2025-11-05

Healthy Volunteers

No

Interventions

DEVICE

Glide Control System

Glide is a commercially developed directional myoelectric control strategy from Infinite Biomedical Technologies (IBT) that sits between classic Direct Control (DC) and modern Pattern Recognition (PR). Instead of requiring an isolated on/off muscle signal for each function (e.g., DC) or training a complex classifier on many gestures (e.g., PR), Glide uses the relative activity across 2-8 EMG electrodes to move a virtual cursor on a 2-D "Glide map." The map is divided into adjustable sectors ("slices"), and each slice is assigned a prosthetic movement (e.g., hand open/close, wrist rotation, elbow flexion). Moving the cursor into a slice actuates that movement.

DEVICE

Pattern Recognition System

Pattern recognition (PR)-based myoelectric control is a data-driven approach that allows a user to control multiple prosthetic functions using natural muscle activation patterns rather than discrete, isolated signals. Instead of mapping one muscle to one motion (as in conventional Direct Control), PR systems record the spatial and temporal pattern of EMG activity from multiple sites on the residual limb and use machine learning algorithms to classify which intended movement the user is trying to make.

Locations (10)

Medical Center Orthotics and Prosthetics - Annapolis

Annapolis, Maryland, United States

Medical Center Orthotics and Prosthetics - Baltimore

Baltimore, Maryland, United States

Medical Center Orthotics and Prosthetics - Silver Spring

Silver Spring, Maryland, United States

Medical Center Orthotics and Prosthetics - Allston

Allston, Massachusetts, United States

Medical Center Orthotics and Prosthetics - Milton

Milton, Massachusetts, United States

Medical Center Orthotics and Prosthetics - Charlotte

Charlotte, North Carolina, United States

Medical Center Orthotics and Prosthetics - Anderson

Anderson, South Carolina, United States

Medical Center Orthotics and Prosthetics - Greenville

Greenville, South Carolina, United States

Medical Center Orthotics and Prosthetics - Fairfax

Fairfax, Virginia, United States

Medical Center Orthotics and Prosthetics - Leesburg

Leesburg, Virginia, United States