Feasibility and Effectiveness of Goal Driven Extended Reality for Lower Limb Rehabilitation

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorUniversity at Albany

About this trial

This pilot study will evaluate the feasibility and preliminary effectiveness of incorporating Extended Reality (XR) into the treatment of patients undergoing Lower Limb Rehabilitation (LLR) using the Vector Gait and Safety System. LLR requires repetitive motions over the span of weeks or months with the aim of restoring mobility. This duration of time poses challenges with motivation and increases the burden on the physical therapists. The use of XR in conjunction with conventional physical therapy could significantly increase motivation, along with providing therapists with new ways of tracking the patient's recovery. Pilot study results will be used to propose new and innovative approaches to physical recovery during inpatient rehabilitation, potentially increasing motivation, enhancing therapy participation, and reducing the overall time taken for recovery.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Inpatient at Sunnyview Rehabilitation Hospital

Receiving or scheduled to receive Vector-based gait training therapy

At least 18 years of age at the time of enrollment

Disqualifiers

Unable to use the Vector due to contraindications for Vector use (>500 lb or <30 lb), external halo neck support, severe osteoporosis, uncontrolled diabetes, uncontrolled hypertension, unstable fractures)

Unable to follow 2 step commands

Vertigo or vision abnormalities contraindicated for MR use

Unable to ambulate prior to current injury

Trial design

Design model

Single group

Treatments tested in this trial

  • Extended Reality based Gait Rehabilitation

    Other intervention

    XR headset augmenting traditional Vector based gait rehabilitation.

Treatment groups

24 Participants
are divided into 1 treatment group
Group A: Vector Based Gait Rehabilation paired with Extended RealityExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Gait Speed

Establish the efficacy of integrating Extended Reality (XR) with Vector treatment sessions during inpatient rehabilitation by monitoring the change in gait speed over sessions.

Time frame
2 months

Secondary outcomes

1

Patient Motivation

Track patient motivation over sessions as measured by post session survey response on a 5 point Likert Scale (1-Not motivated, 5 - Very motivated).

Time frame
2 months
2

Patient Confidence

Patient confidence in their rehabilitation while using the XR system. Measured by collecting patient feedback on post session survey using a 5 point Likert Scale (1- Not confident, 5- Very confident)

Time frame
2 months
3

Patient Satisfaction

Measure how satisfied patient is with their recovery using the XR system. Captured using post session survey question with a 5 point Likert Scale (1-Very dissatisfied, 5- Very satisfied).

Time frame
2 months

Other outcomes

1

Ease of Use, Enjoyability and Comfort

How easy, enjoyable and comfortable the overall system was for patients to use. Captured through post session survey questions with a 5 point Likert Scale for each (1- Very difficult/Not enjoyable/ Very uncomfortable, 5 - Very Easy/Very Enjoyable/Very comfortable).

Time frame
2 months
2

End of study patient feedback

Feedback regarding challenges/difficulties, enjoyability, frustrations, and general suggestions. Collected post rehabilitation via a questionnaire.

Time frame
2 months
3

Patient perceived effectiveness and challenge level

Effectiveness of XR session for patient rehabilitation, along with challenge posed via each task for the patient. Collected via post session survey questions with a 5 point Likert Scale (1-Not Effective/Much more challenging, 5- Very effective/Not challenging at all)

Time frame
2 months

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

University at Albany

Lead sponsor

Sunnyview Rehabilitation Hospital

Collaborator