Project Grant 2433137
- This $275,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and validation of an automated method for continuous post-operative cardiac rhythm diagnosis. The project, led by Atrility Medical, Inc., aims to improve the accuracy and accessibility of post-operative rhythm monitoring through the use of high-quality atrial electrogram signals. The anticipated outcome is a real-time, continuous...
- The National Science Foundation (NSF) awarded a $275,000 Phase I Small Business Innovation Research (SBIR) grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to KAI TECH LLC. The funding supports the development of an advanced software system called ECG-AID for automated electrocardiogram (ECG) analysis and interpretation. The ECG-AID prototype integrates a comprehensive ECG database, Z-score-based assessments, and machine-learning techniques to enhance the...
- RCE Technologies, Inc. was awarded a $255,892 Small Business Innovation Research Phase I Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program to develop a proof-of-concept machine learning-based diagnostic system for detecting myocardial infarction and ischemia in real-time. The system aims to provide point-of-care clinical classification for heart attack cases using a novel, portable device integrating the awardee's proprietary external...
- The National Science Foundation awarded Cardiophi LLC $532,000 under the Technology, Innovation, and Partnerships program to develop an artificial intelligence solution for the automated interpretation of electrocardiograms. The project aims to refine existing deep learning-based algorithms for detecting irregular heartbeats, develop methods for predicting the onset of cardiac arrhythmias, and create interpretable and explainable tools to provide insights from ECG signals to clinicians....
- This Small Business Innovation Research (SBIR) Phase II Cooperative Agreement awarded by the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) to X-Sight Incorporated provides $1,250,000.00 in funding from June 15, 2025 to May 31, 2027 to develop a new generation of compact, lower-cost 3D X-ray or computed tomography (CT) imaging systems. The project aims to create a distributed X-ray source technology that replaces mechanical rotation with arrays of...
- This National Science Foundation (NSF) Cooperative Agreement award, under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, provides $999,553 to Dynocardia, Inc. to develop advanced computer vision and artificial intelligence algorithms for motion artifact correction in their Vitrack wearable blood pressure monitoring device. The project aims to improve the accuracy and reliability of Vitrack's continuous, non-invasive blood pressure measurements in clinical settings, where...
- This federal Project Grant award, valued at $127,926 and awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286), aims to develop a real-time, continuous monitoring platform to track cardiac biomarkers (cTnI and NT-proBNP) alongside ECG readings. This platform, which integrates a 3D-printed, flexible subdermal biochemical sensor with an external wearable...
- This Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), provides $293,653 to 3DT Holdings, LLC to develop a software tool for optimizing cardiac resynchronization therapy (CRT), conduction system pacing (CSP), and left ventricular endocardial pacing (LVEP) therapies. The goal is to reduce non-responder rates and improve patient identification for these treatments, especially for patients with...
- This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) provides $305,000.00 to Sensvita Inc. to develop a non-invasive radio frequency sensing technology for home-based monitoring of heart and lung function. The proposed system aims to provide a cost-effective, continuous, and convenient solution for monitoring critical cardiopulmonary metrics in the home, with the potential to reduce hospitalizations, improve quality of...
- This Small Business Innovation Research (SBIR) Phase II Cooperative Agreement, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, is focused on developing a tele-directed, artificially intelligent sonography robot system. The $1,199,999.00 award to Apricity Robotics Inc. aims to create a telerobotic system for administering echocardiograms, addressing challenges such as long wait times, sonographer shortages, and...
SBIR PHASE I: AI-POWERED LOW-DOSE, LOW-COST, HIGH-QUALITY CT IMAGING -THE BROADER IMPACT/COMMERCIAL POTENTIAL OF THIS SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PHASE I PROJECT STEM 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.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $20.0k | 7/22/25 | ||
| Not listed | $275.0k | 8/22/24 |