Clinical Trial Details
— Status: Not yet recruiting
Administrative data
NCT number |
NCT05253989 |
Other study ID # |
21CX6751 |
Secondary ID |
|
Status |
Not yet recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
May 1, 2022 |
Est. completion date |
October 30, 2024 |
Study information
Verified date |
April 2022 |
Source |
Imperial College London |
Contact |
Paul Bentley |
Phone |
02033111184 |
Email |
p.bentley[@]imperial.ac.uk |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
Novel approaches are needed for the management of stroke patients, as current practice relies
on the presence of a qualified professional, of which there are severe shortages.
Rehabilitation technologies provide a unique solution to this problem. Recent technological
advances in EMG signal processing mean that researchers are now able to decompose EMG
recordings of the residual muscle activity of stroke survivors. This information can be used
to detect biomarkers of a patient's functional status, allowing an objective measure of
function to be obtained. This information could be used to predict patient recovery and
decide on the best course of treatment. Furthermore, this technology can be used to predict
attempted patient movements, which could be used to drive a virtual reality interface that
gives feedback on movement attempts. This could be delivered through a gaming interface,
creating an enjoyable and motivational rehabilitation technology for stroke patients, and
providing a treatment option for the most severe patients. Synchronizing patients' attempted
movements with electrical stimulation of the desired muscle groups may further enhance
neuroplasticity and rehabilitation outcomes. Advances in electronics have made it so
electrical stimulation systems are wearable, portable and comfortable, commonplace in
rehabilitation clinics and accessible to the general public (https://www.surge.co.uk/).
In order to verify the clinical validity of such an approach, there is a need to conduct a
large scale trial (6 months). The purpose of this study will be to assess the clinical
validity of a gaming-based intervention driven by EMG activity in promoting long-term
functional recovery. The study will also be assessing the capability of an AI algorithm to
predict long-term recovery based on biomarkers detected in the early EMG signals. The team
wishes to conduct a large scale trial to learn from the past mistakes of rehabilitation
technologies, which were insufficiently powered to result in statistically significant
outcomes, especially given the heterogeneous nature of the stroke population.
The impact of such an intervention could be revolutionary for stroke patients. It would
provide a treatment option for severe stroke patients, where none currently exists. It also
ensures that rehabilitation could be commenced within the most time-critical period (the
earliest weeks following stroke). Such an intervention would integrate easily into existing
care practice and relieve some of the pressure on the NHS. The long-term impact would be to
significantly improve the lives of stroke survivors and substantially reduce the burden on
the NHS.
Furthermore, the implications of this technology would go beyond stroke rehabilitation, and
could be used in any patient with any form of paralysis. In order to test and validate this,
the study team are also looking to include a small proportion of spinal cord injury patients
in the protocol. The rationale being two-fold: they provide an alternative recruitment pool,
with a simpler injury that does not also cause cognitive impairments, meaning they will be
easier to collect data from and draw meaningful conclusions, in addition, it will help
support that this technology can be useful in different patient groups and provide insight
for future research directions. Spinal cord injury was chosen as a second condition, as like
stroke it is one of the largest causes of paralysis, but tends to affect a younger patient
population, which will allow us to compare the efficacy of this treatment approach in
different age groups.
Description:
Study Design:
Main Study: An interventional study conducted in both acute stroke patients and chronic
stroke patients, as well as spinal cord injury patients, to validate the use of a
virtual-reality based rehabilitation therapy. Data from the control group will be collected
first (approximately 29 patients), to generate preliminary results. Following this, the
intervention group data will be collected (also approximately 29 patients) and compared to
the control group.
Sub Study: An interventional study similar to the main study will be conducted, with the
addition of functional electrical stimulation. Both acute stroke patients and chronic stroke,
as well as spinal cord injury, patients (approximately 40 patients) will be recruited to
validate the use of a FES with virtual-reality during rehabilitation. The data collected will
be compared to the data collected in the Main Study to evaluate the effectiveness of FES + VR
therapy in comparison to the main control group, VR-only group and sub-study control group.
Aims:
Main study: To validate the use of an EMG-based virtual reality interface for use in the
rehabilitation of motor function. To determine if there are biomarkers present in the EMG
data that can be used to predict and inform on patient recovery. Generating experimental
evidence on how to optimise rehabilitation, according to cognitive load, type of motor task
and force generation. To compare the use of global EMG information to the use of decomposed
motor neuron activity to determine which methodology is most effective in developing a
rehabilitation tool.
Sub Study: To validate the use of EMG-based virtual reality and FES feedback in the
rehabilitation of motor function. To generate experimental evidence quantifying how EMG-based
virtual reality and FES feedback impacts the motor recovery process. To determine how well
the patients' EMG data can be used as a control signal for FES assistance, in terms of
enhancing performance, motivation, effort and recovery. To determine how well sub-motor and
above-motor FES impulses enhance game performance and how modulating the amount of FES
feedback based on game performance impacts performance, motivation, effort and recovery.
Outcome Measures:
Main Study: The primary end point outcome will be the Fugl Meyer Upper Extremity Assessment
(FM-UE) at 6 months, controlled for baseline.
Additional outcome measures will include: The Action Arm Research Test (ARAT), Functional
Independence Measure (FIM), Modified Rankin Scale (mRS), Hospital Anxiety and Depression
Scale (HADS), Faces Pain Rating Scale (F-PRS), Stanford Fatigue Visual Numeric Scale (SFVNS),
Patient Questionnaires (see Semi-Structured Interview - Patient Questionnaire document ),
Device Recordings (EMG data, game performance metrics, time spent engaging with
rehabilitation).
Sub Study: The outcome measures will be the same for the sub study. In addition, patients
will complete the Goal Attainment Scale and Motor Activity Log to track their goal
achievements and amount and quality of arm use. The System Usability Scale and NASA-Task Load
Index questionnaires will be completed to evaluate the system's usability and the mental and
physical effort during gameplay with and without FES feedback. Each of these patient-reported
questionnaires requires just 5 minutes to complete so will not introduce a considerable
burden to the patients, yet will provide important research information.
Population:
Main Study: A convenience sample of 58 stroke survivors or spinal cord injury patients will
be screened and consented by delegated health care practitioners (HCPs) or Co-Is.
Sub Study: A convenience sample of 40 stroke survivors or spinal cord injury patients will be
screened and consented by delegated health care practitioners (HCPs) or Co-Is.
Eligibility: Participants will be 18yrs or over, acute/sub-acute or chronic stroke survivors
with UL impairment that resulted from the stroke, fitting inclusion criteria specified
herewith.
Duration: Participants' enrolment in the study will last up to 9 months. The study
recruitment phase will open for up to 36months. The overall research period, including
analysis and write up is anticipated to last 39months.