I-Corps: Translation Potential of a Wearable, Brain-computer Interface System for In-home Stroke Rehabilitation

Information

  • NSF Award
  • 2420836
Owner
  • Award Id
    2420836
  • Award Effective Date
    4/15/2024 - a month ago
  • Award Expiration Date
    3/31/2025 - 9 months from now
  • Award Amount
    $ 50,000.00
  • Award Instrument
    Standard Grant

I-Corps: Translation Potential of a Wearable, Brain-computer Interface System for In-home Stroke Rehabilitation

The broader impact of this I-Corps project is the development of a novel stroke rehabilitation system, achieved through the introduction of a wearable electrode system designed for in-home use. Stroke, a leading cause of disability, places substantial economic burdens on individuals and healthcare systems. The project's innovative approach could empower stroke survivors to engage in rehabilitation within the comfort of their homes. This technology could not only enhance patient outcomes but also help address the economic challenges associated with stroke disabilities. This project could also signify a critical advancement at the intersection of technology and healthcare, with the potential to improve the landscape of stroke rehabilitation by making it more inclusive, convenient, and economically viable for a broader segment of the population.<br/><br/>This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the development of a wearable system designed for in-home stroke rehabilitation, integrating an electrode system embedded with an electroencephalography (EEG)-based brain-computer interfaces (BCI). The components include a stretchable mesh headset featuring durable electrodes, a wireless system resilient to interference, and intelligent machine learning algorithms facilitating unsupervised brain-computer interface operation. By addressing the challenges associated with conventional gel-based electrodes and the necessity for expert supervision, this technology represents a novel advancement in neural recording capabilities. The fusion of brain-computer interface technology, wireless communication, and machine learning algorithms could not only make stroke rehabilitation more accessible, convenient, and technologically advanced but also holds promise for diagnosing and treating a variety of neurological disorders.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Molly Waskomwasko@nsf.gov7032924749
  • Min Amd Letter Date
    4/10/2024 - a month ago
  • Max Amd Letter Date
    4/10/2024 - a month ago
  • ARRA Amount

Institutions

  • Name
    University of Texas at Austin
  • City
    AUSTIN
  • State
    TX
  • Country
    United States
  • Address
    110 INNER CAMPUS DR
  • Postal Code
    787121139
  • Phone Number
    5124716424

Investigators

  • First Name
    Huiliang
  • Last Name
    Wang
  • Email Address
    evanwang@utexas.edu
  • Start Date
    4/10/2024 12:00:00 AM

Program Element

  • Text
    I-Corps
  • Code
    802300

Program Reference

  • Text
    BIOMEDICAL ENGINEERING
  • Code
    5345