2317290
Cooperative Agreement
Overview
Grant Description
SBIR Phase II: Analog Front End (AFE) Platform for Lightweight, Long-Term, Cortical Monitoring - The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project provides next generation ambulatory seizure data acquisition.
The advent of mobile health advances during the COVID-19 health crisis have enabled new innovations to be considered. This effort provides a framework for the next line of remote neurological data acquisition capabilities for the implementation of military helmet designs that detect battlefield traumatic brain injuries, football helmet designs that detect sports-related brain injuries, caps for first responder teams that detect trauma, at-home monitoring headsets for remote migraine assessment, etc.
A complete analogue front end (AFE) will be developed in order to provide digitized electroencephalograph (EEG) signals to the downstream stages. The project will have a major impact in several areas, namely, wearable bio-devices, data fusion, and neurological data extraction and visualization of complex biological systems.
This device can be utilized for first responders at the scene of neurological trauma such as emergency medical technicians, battle front medical areas, and sports-related events. This Small Business Innovation Research Phase II project will provide a robust mobile device that can be worn in an at-home setting for remote neurological monitoring.
The solution will remove noisy artifacts from the electroencephalograph signal in order to perform neurological diagnoses and provide neurological reporting to the neurologist as an aid to quantify the patient's seizure instances. The analogue front end (AFE) provides the foundation for a portable electroencephalograph (EEG) device for neurological data acquisition for the clinical, academic, and research communities.
The ambulatory seizure monitoring device will enable an end-to-end system for robust, lightweight, data transmission to a cloud service, which will generate reports for the physician to analyze a patient's neurological data for treatment. This system will extend the current rise of health devices into the complex environment of neurological states, as well as the eventual development of neuro-analytics.
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. - Subawards are not planned for this award.
The advent of mobile health advances during the COVID-19 health crisis have enabled new innovations to be considered. This effort provides a framework for the next line of remote neurological data acquisition capabilities for the implementation of military helmet designs that detect battlefield traumatic brain injuries, football helmet designs that detect sports-related brain injuries, caps for first responder teams that detect trauma, at-home monitoring headsets for remote migraine assessment, etc.
A complete analogue front end (AFE) will be developed in order to provide digitized electroencephalograph (EEG) signals to the downstream stages. The project will have a major impact in several areas, namely, wearable bio-devices, data fusion, and neurological data extraction and visualization of complex biological systems.
This device can be utilized for first responders at the scene of neurological trauma such as emergency medical technicians, battle front medical areas, and sports-related events. This Small Business Innovation Research Phase II project will provide a robust mobile device that can be worn in an at-home setting for remote neurological monitoring.
The solution will remove noisy artifacts from the electroencephalograph signal in order to perform neurological diagnoses and provide neurological reporting to the neurologist as an aid to quantify the patient's seizure instances. The analogue front end (AFE) provides the foundation for a portable electroencephalograph (EEG) device for neurological data acquisition for the clinical, academic, and research communities.
The ambulatory seizure monitoring device will enable an end-to-end system for robust, lightweight, data transmission to a cloud service, which will generate reports for the physician to analyze a patient's neurological data for treatment. This system will extend the current rise of health devices into the complex environment of neurological states, as well as the eventual development of neuro-analytics.
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. - Subawards are not planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23516
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Germantown,
Tennessee
38138-1528
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 08/31/25 to 02/28/26 and the total obligations have increased 40% from $963,459 to $1,345,748.
Neurodyne was awarded
Cooperative Agreement 2317290
worth $1,345,748
from National Science Foundation in September 2023 with work to be completed primarily in Germantown Tennessee United States.
The grant
has a duration of 2 years 5 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Cooperative Agreement was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase II Programs (SBIR/STTR Phase II).
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II:Analog front end (AFE) platform for lightweight, long-term, cortical monitoring
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project provides next generation ambulatory seizure data acquisition. The advent of mobile health advances during the COVID-19 health crisis have enabled new innovations to be considered. This effort provides a framework for the next line of remote neurological data acquisition capabilities for the implementation of military helmet designs that detect battlefield traumatic brain injuries, football helmet designs that detect sports-related brain injuries, caps for first responder teams that detect trauma, at-home monitoring headsets for remote migraine assessment, etc. A complete analogue front end (AFE) will be developed in order to provide digitized electroencephalograph (EEG) signals to the downstream stages. The project will have a major impact in several areas, namely, wearable bio-devices, data fusion, and neurological data extraction and visualization of complex biological systems. This device can be utilized for first responders at the scene of neurological trauma such as emergency medical technicians, battle front medical areas, and sports related events._x000D_ _x000D_ This Small Business Innovation Research Phase II project will provide a robust mobile device that can be worn in an at-home setting for remote neurological monitoring.The solution will remove noisy artifacts from the electroencephalograph signal in order to perform neurological diagnoses and provide neurological reporting to the neurologist as an aid to quantify the patient’s seizure instances. The analogue front end (AFE) provides the foundation for a portable electroencephalograph (EEG) device for neurological data acquisition for the clinical, academic, and research communities. The ambulatory seizure monitoring device will enable an end-to-end system for robust, lightweight, data transmission to a cloud service, which will generate reports for the physician to analyze a patient neurological data for treatment. This system will extend the current rise of health devices into the complex environment of neurological states, as well as the eventual development of neuro-analytics._x000D_ _x000D_ 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.
Topic Code
BM
Solicitation Number
NSF 23-516
Status
(Ongoing)
Last Modified 8/21/25
Period of Performance
9/1/23
Start Date
2/28/26
End Date
Funding Split
$1.3M
Federal Obligation
$0.0
Non-Federal Obligation
$1.3M
Total Obligated
Activity Timeline
Transaction History
Modifications to 2317290
Additional Detail
Award ID FAIN
2317290
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
GMNEHMCGW1C5
Awardee CAGE
81Z99
Performance District
TN-08
Senators
Marsha Blackburn
Bill Hagerty
Bill Hagerty
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $963,459 | 100% |
Modified: 8/21/25