Project Grant 2138378
- This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) is providing $448,039 to the University of Pennsylvania to develop a wireless, ear-based wearable device for monitoring neural activity and detecting seizures using artificial intelligence (AI). The key goals are to create an unobtrusive "earable" device with integrated AI capabilities to alert users and caregivers about seizure events. This addresses a critical gap in epilepsy care...
- Florida International University was awarded a $250,000 Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program (CFDA 47.084) to develop an artificial intelligence-enabled real-time system for early epileptic seizure detection and prediction. The two-year project will design and develop advanced machine learning algorithms to identify neuromarkers in wearable electroencephalography data that can predict epileptic seizures. Researchers will...
- This $256,000 National Science Foundation Project Grant under the Engineering program (CFDA 47.041) funded Neurologic Solutions Inc. to improve epilepsy diagnosis through network analytics applied to non-seizure scalp EEG data. The NSF Directorate for Engineering seeks to foster innovation and excellence in engineering research, such as developing new techniques for analyzing biomedical data to advance disease diagnosis. Under this award beginning in May 2021, Neurologic will apply network...
- The Regents of the University of Minnesota received a $122,214 Computer and Information Science and Engineering (CFDA 47.070) project grant from the National Science Foundation (NSF). The grant will fund the development of a machine learning-based clinical decision support framework to assist epileptologists in diagnosing epilepsy. The key products and services to be delivered include: A fully automated and efficient electroencephalography (EEG) data preprocessing pipeline using deep learning...
- The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $300,000 Project Grant to the University of California, San Diego (UCSD) for a collaborative research effort titled "Analysis and Control of Nonlinear Oscillatory Networks for the Design of Novel Cortical Stimulation Strategies." This 3-year project aims to develop new theories and tools to predict the onset and spreading of epileptic seizures, and to inform the use of novel electrical brain...
- This $222,160 Project Grant awarded by the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) will support Dr. Alena Stasenko's research at the University of California, San Diego (UCSD) aimed at developing novel, tech-based interventions to improve brain health and cognitive aging in individuals with epilepsy. The funding, provided over a 5-year period from August 2025 to July 2030,...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,183,690.00 to The Regents of the University of California, San Francisco (UCSF) to develop personalized machine learning models that can predict adverse health events like substance use and stress-related blood pressure spikes using data from wearable devices like Fitbit and Apple Watch. The innovation of this project lies in...
- This federal Project Grant award of $225,599, awarded by the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, will support research on the contributions of sex chromosomes versus gonadal hormones in shaping sex differences in epilepsy. The University of Illinois, the awardee, will utilize in vivo video-electroencephalography, RNA sequencing, and immunostaining to determine...
- This $170,000 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop robust and human-aligned deep learning techniques for analyzing medical sensor time-series data. The primary goals are to: 1) identify input confounders that lead to spurious correlations in time-series data, 2) design knowledge-editing strategies to correct these spurious correlations, and 3) investigate the techniques...
- This $120,276 federal Project Grant awarded by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) will fund a collaborative research project to enhance episodic memory through the integration of real-world brain recording, stimulation, and perception data. The key objectives are to: Synchronize human experience data from various IoT sensors with neuronal activity recordings to understand how brain patterns relate to real-world experiences. Leverage...
This $199,005 National Science Foundation project grant funds research at the University of North Florida to develop machine learning algorithms using noninvasive wearable sensors to forecast seizures and optimize antiseizure medication dosing for women with epilepsy. Funded under the NSF's Engineering program (CFDA 47.041), which supports innovation and excellence in engineering research and education, the two-year award will investigate hormonal changes associated with the menstrual cycle and their effects on seizure risk. Researchers will analyze physiological signals recorded via wearable devices to design reliable seizure forecasting algorithms. This will allow personalized medication dosing, with lower baseline doses and increased doses during high-risk periods to improve quality of life. The project also provides training for undergraduate and graduate students, with a focus on engaging female researchers. Outcomes aim to advance management of epilepsy while considering gender-specific factors influencing seizure risk.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.0k | 1/31/22 |