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Prediction of Muscle Responsiveness to FES Therapy

Not Applicable
Completed
Conditions
Spinal Cord Injury Cervical
Interventions
Device: Functional electrical stimulation therapy.
Registration Number
NCT05462925
Lead Sponsor
University Health Network, Toronto
Brief 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.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
10
Inclusion Criteria
  • Cervical spinal cord injury
  • Paralysis or paresis in at least one upper extremity
  • At least 6 months post SCI
  • Able to understand and follow instructions
  • Able to tolerate being in a seated position for a least one hour required to deliver upper limb therapy
  • Willing to attend treatment sessions and all assessment sessions
  • Able to understand and provide informed consent
  • Male and female participants ≥ 18 years of age at the time of enrollment
Exclusion Criteria
  • Previous history of any other neuromuscular disorder or conditions that may affect motor response
  • Upper extremity injury or condition prior to SCI that limits the function of the hand or arm
  • In the judgment of the medical provider, the participant has medical complications that may interfere with the execution of the study
  • Currently enrolled in another upper limb study and/ or has received MyndMove Therapy within the past 3 months
  • Botulinum toxin injection into affected upper extremity and the muscle targeted by MyndMove® therapy within 3 months prior to the study start. No botulinum toxin injections in the upper extremity during the study treatment.
  • Females who are pregnant or planning to become pregnant in the duration of the trial
  • Regional disorder of the upper extremities such as fracture, dislocation, or joint contractures to less than 50% of the expected range of motion

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
Functional electrical stimulation therapyFunctional electrical stimulation therapy.Participants will receive 30 sessions of upper limb functional electrical stimulation therapy. Sessions will be 1 hour in length and take place 3-5 times per week.
Primary Outcome Measures
NameTimeMethod
Muscle strength recovery profileMuscle strength assessed at each of 30 therapy sessions (3-5 sessions per week).

Change over time in manual muscle testing conducted on each treated muscle.

Secondary Outcome Measures
NameTimeMethod
Surface electromyography signal featuresBaseline (required). End of therapy (6-10 weeks; optional).

Surface electromyography of treated muscles will be conducted at baseline. A set of signal features will be extracted for use in predictive modeling (examples include Hudgins' time-domain feature set, autoregressive coefficients, and frequency domain features). An optional second assessment will occur at the end of the 30 therapy sessions.

Trial Locations

Locations (1)

Toronto Rehabilitation Institute - University Health Network

🇨🇦

Toronto, Ontario, Canada

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