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SeeMe: A novel tool for measuring and detecting human consciousness
Case ID:
050-9373
Web Published:
4/23/2025
Background
Assessing the functional state of the brain and predicting recovery of consciousness following acute brain injury (ABI) remains a major unsolved clinical problem. Currently, behavioral measures of recovery with scoring systems such as the Glasgow Coma Scale (GCS) and the Coma Recovery Scale-Revised (CRS-R) are used. However, these methods are low resolution and depend on subjective impressions by bedside clinicians. Low-amplitude responses may not be observed, and patients may be mischaracterized as unconscious when awake. Previous attempts using techniques like electromyography (EMG) rely on sampling of potentially functional muscles, but brain injury patients often have injuries which interfere with analysis of motor behavior. There remains a need for objective techniques to measure the functional state of the brain and predict recovery after ABI.
Technology
SeeMe is a novel facial analysis tool to monitor behavior recovery in comatose patients following acute brain injuries. SeeMe provides a real-time brain-computer interface for measuring low-amplitude voluntary movements that are difficult to detect with the naked eye. By analyzing low-amplitude facial movements occurring in response to specific auditory commands, SeeMe provides the first automated technique to detect early signs of neurological recovery in ABI patients. SeeMe is simple to use and can inform clinical decision-making.
Advantages
Objective measurement of consciousness - Reduce the number of mischaracterizations - Simple to use - Automated
Application
Detecting consciousness following acute brain injury - Behavior quantification and assessment
Patent Status
Patent Pending
Stage Of Development
Licensing Potential
Development partner - Commercial partner - Licensing
Licensing Status
Available
Additional Info
https://stonybrook.technologypublisher.com/files/sites/050-9373.jpg
auremar, https://stock.adobe.com/uk/images/181192937, stock.adobe.com
Patent Information:
App Type
Country
Serial No.
Patent No.
File Date
Issued Date
Expire Date
Category(s):
Campus
Technology Classifications > Computer Software
Technology Classifications > Diagnostics
Technology Classifications > Medical Devices
Campus > Stony Brook University
Case ID: R050-9373
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For Information, Contact:
Valery Matthys
Licensing Associate
State University of New York at Stony Brook
valery.matthys@stonybrook.edu
Inventors:
Sima Mofakham
Charles Mikell
Xi Cheng
Keywords: