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Safety and Feasibility of eGlove

Electroencephalographic Correlates of Glove-stretch Therapy Post-stroke

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05345301
Enrollment
10
Registered
2022-04-25
Start date
2022-03-28
Completion date
2022-09-14
Last updated
2023-07-27

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

Conditions

Stroke

Keywords

Upper Extremity, Body Computer Interface

Brief summary

The purpose of this study is to measure how cortical signals improve in stroke participants after passive hand stretching therapy from a robotic glove.

Detailed description

After experiencing a stroke event, many individuals are left with life-long motor impairments in their upper extremity. However, motor recovery for stroke survivors is not fully understood. One of the challenges to understand the mechanisms behind recovery is the capability of the brain to reorganize and re-activate areas affected by the stroke. Brain computer interface (BCI) has shown promise in previous studies to improve motor capabilities of individuals with damaged nervous systems by reactivating damaged motor pathways. In order to understand how BCI can be incorporated into upper extremity rehabilitation, investigators must first lay the groundwork of measuring neural activity and its relation to muscle activity in individuals who have experienced a stroke. While instructing participants to open and close their hand, investigators will measure (1) neural activity, called sensorimotor rhythms (SMRs), using a electrophysiological (EEG) cap, and (2) muscle activity using wireless electromyography (EMGs). What the investigators are specifically looking for is an event in the neural activity in between movement initiation and termination called event related desynchronization (ERD). The investigators of this study hypothesize that there is greater activation of ERDs in stroke's subjects SMR activity after completing finger extension and flexion.

Interventions

DIAGNOSTIC_TESTEvent related desynchronization measurement

Individuals will spend one hour and receive cues to open or close their hand while wearing a EEG cap and EMG sensors on their forearm.

Sponsors

Shirley Ryan AbilityLab
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Ischemic or hemorrhagic stroke (6 months post stroke) * Hemiparesis * Some degree of hand and finger movement capability * a moderate impairment (Fugl-Meyer score between 15-50)

Exclusion criteria

* Individuals under the age of 18 * Bilateral paresis * Hand pain and/or extreme articular contractures on the finger joints (Modified Ashworth Scale of 4) * Botox injection to the affected upper extremity within the previous 4 months * Aphasia, cognitive impairment, or affective dysfunction that would influence the ability to perform the experiment

Design outcomes

Primary

MeasureTime frameDescription
Rate of activation of Event Related Desynchronization1 hourSensorimotor neural activity

Countries

United States

Outcome results

None listed

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