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Safety and Feasibility of an ExoNET for Supination Assistance for Stroke Survivors

Assisting Stroke Survivors With Engineering Technology (ASSET): Design Project D3: Exoskeletal Networks for Forearm Supination

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06655636
Enrollment
30
Registered
2024-10-23
Start date
2024-12-04
Completion date
2025-12-31
Last updated
2025-01-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cerebral Vascular Accident, Stroke

Keywords

Upper Extremity, Rehabilitation, Stroke

Brief summary

The purpose of this study is to evaluate the safety, feasibility, and efficacy of an exoskeletal network of passive, multi-joint springs for forearm supination. Also known as the forearm ExoNET, the device is a passive, robotic device that will properly assist forearm supination in the post-stroke adult population.

Detailed description

The ExoNET, a passive robotic solution that provides a soft, biomimetic, and elastic alternative to robotics that embodies intelligence within the mechanical design. Several groups have been exploring performance enhancement using springs with custom-tuned parameters via optimization. Here, it is possible to have a simple reconfigurable system that can not only assist performance, but can also make training easier, faster, and more complete. This contribution has the potential to be clinically significant for rehabilitating neurologically impaired individuals because this proposal will investigate how motor learning can be facilitated through novel assistive technology. The primary objective of this study is to evaluate the safety, feasibility, and efficacy of using the forearm ExoNET. Specifically, investigators would like to see if the forearm ExoNET tuned to assistance will lead to a reduction in forearm muscle activity and an increase in active supination range of motion. To accomplish this, we plan to have participants perform upper extremity activities of daily living requiring active forearm supination wearing the ExoNET. To achieve these goals, we will use a wearable surface electromyography (EMG) and inertial measurement unit (IMU) using Delsys wearable sensors on the forearm muscles. Investigators hypothesize that individuals with post-stroke arm movement deficits will experience gains in Action Research Arm Test (ARAT) measures that are significantly above their baseline levels while using the forearm ExoNET tuned to supination assistive support. Secondarily, investigators hypothesize that a forearm ExoNET tuned to supination assistive support will lead to a significant reduction in arm muscle activity and no significant difference in range of motion across a series of upper-extremity tasks in adults without a history of stroke. Lastly, it is hypothesized that usage of a forearm ExoNET tuned to supination anti-assistance can be safe, feasible and tolerated by patients in a given treatment session.

Interventions

DEVICEDevice tuned to Assistance

The device spring components will be tuned to produce an assistive supination torque on the forearm.

DEVICEDevice tuned to Sham (Slack Springs)

The device spring components will be tuned to slack springs to serve as a placebo. The user will think they are receiving forces but in reality the device will not be providing any forces.

DEVICEDevice tuned to Anti-Assistance

The device spring components will be tuned to produce a resistive supination torque on the forearm.

Sponsors

Shirley Ryan AbilityLab
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
TREATMENT
Masking
DOUBLE (Subject, Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
40 Years to 70 Years
Healthy volunteers
Yes

Inclusion criteria

1. Between the ages of 40-70 (to reduce confounding effects of aging on muscle, movement accuracy and proprioception) 2. Have sustained a single, unilateral stroke at least 8 months prior to enrollment 3. Severe to moderate upper extremity impairment (ARAT score 0-30) 4. Ability to move their elbow and wrist when supported against gravity 5. Cortical stroke with hemiparesis, tactile sensation 6. Available medical records about lesion locations indicating the stroke was caused by a middle cerebral artery ischemic infarct

Exclusion criteria

1. Bilateral paresis 2. Diffuse/multiple lesion sites or multiple stroke events 3. Hemispatial neglect or visual field cut that prevent visual feedback 4. Shoulder pain and/or articular rigidity on the upper limb joint 5. Severe sensory deficits indicated by the Two-Point Discrimination Test 6. Botox injection to the affected upper extremity within the previous 4 months 7. Aphasia, cognitive impairment, or affective dysfunction that would influence the ability to consent, perform the experiment, or follow commands 8. Concurrent participation in upper extremity rehabilitation either as part of a research intervention protocol or a prescribed therapy 9. Other neurological issues 10. Meet any of the contraindications to Delsys Trigno Sensors: * Implanted with electronic devices of any kind, including cardiac pace-makers or similar assistive devices, electronic induction pumps, and implanted stimulators * Irritated skin or open wounds * Silver allergy

Design outcomes

Primary

MeasureTime frameDescription
Action Research Arm Test (ARAT)Tested at week 1 (baseline evaluations), week 2 (post evaluation), week 3 (post evaluation)Observational measure used to assess change in upper extremity performance in individuals with a damaged nervous system

Secondary

MeasureTime frameDescription
Upper extremity portion of the Fugl-Meyer (FMUE)Tested at week 1 (baseline evaluations), week 2 (post evaluation), week 3 (post evaluation)Observational measure used to measure change in upper extremity impairment in individuals with a damaged nervous system
Box and BlocksTested at week 1 (baseline evaluations), week 2 (post evaluation), week 3 (post evaluation)Measures change in unilateral gross motor dexterity

Other

MeasureTime frameDescription
Electromyography using DelsysTreatment phases (week 1, week 2 and week 3)Delsys sensors will be used to measure change in biceps activity
Joint Kinematics using Microsoft KinectTreatment phases (week 1, week 2 and week 3)Markerless joint tracking system will be used to collect changes in the joint kinematics to identify changes in limb movement compensatory strategies

Countries

United States

Contacts

Primary ContactValentino I Wilson
viwilso2@uic.edu630-398-2355
Backup ContactCourtney Celian, MSOT
ccelian@sralab.org312-238-1560

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026