2423318
Project Grant
Overview
Grant Description
Sttr Phase I: Development of automated post operative rhythm identification through computerized evaluation of atrial signals.
The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project stems from the development of methods to display and diagnose heart rhythms more accurately and continuously after cardiac surgery.
Inadequate post-operative rhythm monitoring remains a significant concern in over 400,000 cardiac surgeries in the United States (US), 30-50% of which result in arrhythmias.
Arrhythmias, especially when missed or diagnosed late due to inaccurate or delayed monitoring, often lead to worse patient outcomes, including stroke, cardiac dysfunction, heart failure, and death.
These issues are associated with hospital expenses exceeding $9,000 per hospital stay per patient within the growing $8-billion US post-operative cardiac care market.
Beyond the significant economic impact, more accurate and continuous post-operative cardiac rhythm monitoring would provide substantial, potentially lifesaving benefits to human health.
This Small Business Technology Transfer (STTR) Phase I project aims to address the limitations of current post-operative rhythm diagnosis using standard surface-based electrocardiogram (ECG) monitoring.
The inadequacy of atrial signal quality makes it challenging or impossible for providers to interpret rhythm accurately.
Additionally, significant variations in patient and ECG characteristics limit the utility of current rhythm monitoring systems, impacting the optimal care of critically ill patients.
This project will develop and validate a method for continuous rhythm diagnosis and display using the highest quality atrial electrogram.
The diagnosis method will be developed, validated, and optimized with real patient data, ensuring adaptability to varying patient, rhythm, and ECG characteristics.
The anticipated outcome is a shift from the current labor-intensive, non-real-time, and inconveniently displayed methodology, which requires specialized training, to a real-time, more accurate, continuous, and easily accessible diagnosis system.
If successful, this project is expected to substantially improve post-operative care and establish a more accurate standard for post-operative rhythm assessment.
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 planned for this award.
The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project stems from the development of methods to display and diagnose heart rhythms more accurately and continuously after cardiac surgery.
Inadequate post-operative rhythm monitoring remains a significant concern in over 400,000 cardiac surgeries in the United States (US), 30-50% of which result in arrhythmias.
Arrhythmias, especially when missed or diagnosed late due to inaccurate or delayed monitoring, often lead to worse patient outcomes, including stroke, cardiac dysfunction, heart failure, and death.
These issues are associated with hospital expenses exceeding $9,000 per hospital stay per patient within the growing $8-billion US post-operative cardiac care market.
Beyond the significant economic impact, more accurate and continuous post-operative cardiac rhythm monitoring would provide substantial, potentially lifesaving benefits to human health.
This Small Business Technology Transfer (STTR) Phase I project aims to address the limitations of current post-operative rhythm diagnosis using standard surface-based electrocardiogram (ECG) monitoring.
The inadequacy of atrial signal quality makes it challenging or impossible for providers to interpret rhythm accurately.
Additionally, significant variations in patient and ECG characteristics limit the utility of current rhythm monitoring systems, impacting the optimal care of critically ill patients.
This project will develop and validate a method for continuous rhythm diagnosis and display using the highest quality atrial electrogram.
The diagnosis method will be developed, validated, and optimized with real patient data, ensuring adaptability to varying patient, rhythm, and ECG characteristics.
The anticipated outcome is a shift from the current labor-intensive, non-real-time, and inconveniently displayed methodology, which requires specialized training, to a real-time, more accurate, continuous, and easily accessible diagnosis system.
If successful, this project is expected to substantially improve post-operative care and establish a more accurate standard for post-operative rhythm assessment.
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 planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE I", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23515
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Madison,
Wisconsin
53711-1067
United States
Geographic Scope
Single Zip Code
Atrility Medical was awarded
Project Grant 2423318
worth $275,000
from National Science Foundation in September 2024 with work to be completed primarily in Madison Wisconsin United States.
The grant
has a duration of 1 year and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.
SBIR Details
Research Type
STTR Phase I
Title
STTR Phase I: Development of Automated Post Operative Rhythm Identification Through Computerized Evaluation of Atrial Signals
Abstract
The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project stems from the development of methods to display and diagnose heart rhythms more accurately and continuously after cardiac surgery. Inadequate post-operative rhythm monitoring remains a significant concern in over 400,000 cardiac surgeries in the United States (US), 30-50% of which result in arrhythmias. Arrhythmias, especially when missed or diagnosed late due to inaccurate or delayed monitoring, often lead to worse patient outcomes, including stroke, cardiac dysfunction, heart failure, and death. These issues are associated with hospital expenses exceeding $9,000 per hospital stay per patient within the growing $8-billion US post-operative cardiac care market. Beyond the significant economic impact, more accurate and continuous post-operative cardiac rhythm monitoring would provide substantial, potentially lifesaving benefits to human health.
This Small Business Technology Transfer (STTR) Phase I project aims to address the limitations of current post-operative rhythm diagnosis using standard surface-based electrocardiogram (ECG) monitoring. The inadequacy of atrial signal quality makes it challenging or impossible for providers to interpret rhythm accurately. Additionally, significant variations in patient and ECG characteristics limit the utility of current rhythm monitoring systems, impacting the optimal care of critically ill patients. This project will develop and validate a method for continuous rhythm diagnosis and display using the highest quality atrial electrogram. The diagnosis method will be developed, validated, and optimized with real patient data, ensuring adaptability to varying patient, rhythm, and ECG characteristics. The anticipated outcome is a shift from the current labor-intensive, non-real-time, and inconveniently displayed methodology, which requires specialized training, to a real-time, more accurate, continuous, and easily accessible diagnosis system. If successful, this project is expected to substantially improve post-operative care and establish a more accurate standard for post-operative rhythm assessment.
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 23-515
Status
(Complete)
Last Modified 9/25/24
Period of Performance
9/15/24
Start Date
8/31/25
End Date
Funding Split
$275.0K
Federal Obligation
$0.0
Non-Federal Obligation
$275.0K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2423318
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
Y4QDQMC8A2H5
Awardee CAGE
7TBB8
Performance District
WI-02
Senators
Tammy Baldwin
Ron Johnson
Ron Johnson
Modified: 9/25/24