Our Funding at a Glance
Our lab is dedicated to advancing applied physiological signal processing research, and securing funding is a pivotal aspect of our mission. We seek support from an array of organizations and are proud to receive a wide range of grants, each of which significantly contributes to various projects. We express sincere appreciation to our collaborators listed on many of the awards, those of which highlight the strength of our collaborative network in driving impactful research forward.
2
ONR Grants awarded to date
$3,178,974
Total Funding
6
Collaborative Grants
An Industry Collaboration
with Triton Systems
Grants/Funding Received
[Updated 5/12/2024]
| Year | Amount | PI | Title | Foundation | Objective |
| 2022-2026 | $820,000 | PI at UConn Posada-Quintero |
In-home wearable system to predict the fluid accumulation in acute decompensation heart failure patients
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National Institutes of Health/UMASS Amherst
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The multidisciplinary team from the University of Massachusetts Amherst, UMass Medical School, and the University of Connecticut proposes to develop a novel device for in-home monitoring of HF patients who are at risk of decompensation. |
| 2024 | $11,974.35 | PI Posada-Quintero |
Objective continuous assessment of nurses' trust in artificial intelligence healthcare technologies
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UConn Nursing and Engineering Innovation Center Seed Research Grant Award
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| 2024 | $5,000 | PI Posada-Quintero |
Graph Neural Networks for the detection of Normal Pressure Hydrocephalus from mimics
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UConn InCHIP Rolling Seed Grant for Team Formation
|
|
| Contract |
Triton B&P No. 1004-502. DHA STTR Phase I
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Triton Systems/ DOD/Army/ Department of Army
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The aim is to optimize seizure prediction algorithms using electrodermal activity data.
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| 2021-2023 | $490,000 | Co-PI Posada-Quintero | Diver individualized vitals advanced algorithm (DIVAA) | National Institute for Underwater Vehicle Technology | We aim to perform detection of reduction in diver performance in real time, and to determine the most influential physiological parameters that may be linked to performance degradation in a quantitative and automated way. |
| 2021-2024 | $638,000 | Co-PI Posada-Quintero | Automated machine learning classification of electrodermal activity for prediction and detection of symptoms related to the central nervous system oxygen toxicity including seizures | Office of Naval Research | Based on the evidence that we have found of the feasibility of CNS-OT detection based on EDA, the aim of this proposal is to develop machine and deep learning methods for automated detection of only the clean data segments amid motion-corrupted EDA signals. |
| 2020-2022 | $914,000 | Co-PI Posada-Quintero |
Physiological Metrics to Track Operational Performance in Cold Environments
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Military Operational Medicine Research Program | The goal of the study is to optimize and sustain health, operational readiness, and physiological/cognitive performance in extreme environments, and develop accurate physiological status-monitoring to reduce non-battle injury risk. |
| 2019-2020 | $300,000 | Co-PI Posada-Quintero |
Feasibility of electrodermal activity for detecting seizures elicited by central nervous system oxygen toxicity under the water
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Office of Naval Research | The main aim of this project is to test if EDA can be used to detect and/or predict the onset of seizures caused by CNS-OT under the water. |