MedTrace Logo

Prediction of Muscle Responsiveness to FES Therapy

NCT05462925 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10

Last updated 2025-01-15

No results posted yet for this study

Summary

Reduced arm and hand function has a significant impact on independence and quality of life after spinal cord injury. Functional electrical stimulation therapy (FES-T) is a treatment that can produce improvements in reaching and grasping function after neurological injuries. However, not all paralyzed muscles respond equally well to the therapy. Currently, therapists cannot predict which muscles will respond, limiting their ability to create a personalized therapy plan that can maximize outcomes while making the best use of the limited treatment time available. The objective of this study is to develop a diagnostic method that will allow therapists to quickly and easily screen muscles in the clinic, in order to predict how they will respond to FES-T.

Participants with cervical spinal cord injury will receive FES-T through the Rocket Family Upper Extremity Clinic at the Toronto Rehabilitation Institute - University Health Network. Muscles receiving training will undergo a electrophysiological examination before the start of therapy, and will then be tracked for strength recovery over the course of 30 sessions. Lastly, signal processing and machine learning techniques will be applied to the electrophysiological data to predict the recovery profile of each muscle.

The significance of this work will be to provide personalized therapy planning in FES-T, leading to more effective use of healthcare resource as well as improved outcomes.

Conditions

  • Spinal Cord Injury Cervical

Interventions

DEVICE

Functional electrical stimulation therapy.

Functional electrical stimulation therapy will be delivered using the MyndMove system (MyndTec, Inc., Mississauga, Canada).

Sponsors & Collaborators

  • Wings for Life

    collaborator OTHER

  • University Health Network, Toronto

    lead OTHER

Principal Investigators

  • José Zariffa, PhD · University Health Network, Toronto

  • Sukhvinder Kalsi-Ryan, PhD · University Health Network, Toronto

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-07-20
Primary Completion
2024-12-31
Completion
2024-12-31

Countries

  • Canada

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05462925 on ClinicalTrials.gov