Post-stroke Motor Rehabilitation Using Functional Near-infrared Spectroscopy-based Brain-computer-interface
NCT ID: NCT05258591
Last Updated: 2022-05-26
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
EARLY_PHASE1
40 participants
INTERVENTIONAL
2022-02-23
2024-02-29
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Axem Home
Patients receive at-home access to Axem Home system for duration of the study period.
Axem Home
Rehabilitation system comprised of functional near-infrared spectroscopy headband (measuring from the motor cortex), as well as tablet-based software application (guiding stroke survivors through rehabilitation exercises for their hands/arms).
Interventions
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Axem Home
Rehabilitation system comprised of functional near-infrared spectroscopy headband (measuring from the motor cortex), as well as tablet-based software application (guiding stroke survivors through rehabilitation exercises for their hands/arms).
Eligibility Criteria
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Inclusion Criteria
* 6 months - 5 years since most recent stroke
* Upper-extremity Fugl-Meyer motor function (FMA-UE) score ≤56
* Able to follow simple commands
* Fluency in English
* Not currently receiving therapy for the upper extremity
Exclusion Criteria
* Montreal Cognitive Assessment (MoCA) Score ≥10
* History of significant physical disability prior to most recent stroke
* Open wounds on the scalp
* Unable or unwilling to remove hair braids or head coverings which interfere with the Axem Home device efficacy.
* Inability to follow training instructions for at-home BCI system.
18 Years
90 Years
ALL
No
Sponsors
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Massachusetts General Hospital
OTHER
Axem Neurotechnology Inc.
INDUSTRY
Responsible Party
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Locations
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Massachusetts General Hospital
Boston, Massachusetts, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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2020A016951
Identifier Type: -
Identifier Source: org_study_id
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