2151744
Cooperative Agreement
Overview
Grant Description
SBIR Phase II: Multimodal Diagnostic Microsensors for Monitoring Catheter-Based Therapies
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will be to improve detection and enable prediction of implantable device failure. The first target application is hydrocephalus, a life-long, incurable disease characterized by a buildup of cerebrospinal fluid (CSF) in the brain's ventricles. Hydrocephalus is treatable by chronically implanting a shunt to divert CSF from the brain into the abdominal cavity. Around 90,000 shunts are implanted in the US each year. However, these shunts fail at alarming rates (40% within the 1st year of use), leading first to nonspecific symptoms such as headaches and blurred vision and then to permanent brain damage and death without clinical intervention.
Diagnosing shunt failure is difficult and involves a prolonged assessment period with costly imaging studies and invasive shunt taps. The proposed sensor module can be integrated with already-commercialized shunt systems and may allow remote, on-demand measurement of shunt status, therapeutic efficacy, and patient health, ultimately improving clinical outcomes while reducing overall treatment costs.
This Small Business Innovation Research (SBIR) Phase II project will focus on the integration of various microsensors to generate a diagnostic data set for data analytics. This data set will significantly advance the scientific/medical understanding of hydrocephalus, which is limited today by the paucity of data on CSF dynamics over time. The system would include several first-to-market capabilities, including chronic repeated measurement of CSF dynamics and automated wireless transduction from multiple sensors to a cloud-based database for analyses and dissemination.
The smart shunt system will enable remote, on-demand monitoring of shunt status, giving physicians the data necessary for timely diagnosis and prediction of shunt failure. At-home electronic shunt monitoring will allow physicians to quantitatively and proactively manage patients' disease in real-time, and thereby improve their quality of life.
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.
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will be to improve detection and enable prediction of implantable device failure. The first target application is hydrocephalus, a life-long, incurable disease characterized by a buildup of cerebrospinal fluid (CSF) in the brain's ventricles. Hydrocephalus is treatable by chronically implanting a shunt to divert CSF from the brain into the abdominal cavity. Around 90,000 shunts are implanted in the US each year. However, these shunts fail at alarming rates (40% within the 1st year of use), leading first to nonspecific symptoms such as headaches and blurred vision and then to permanent brain damage and death without clinical intervention.
Diagnosing shunt failure is difficult and involves a prolonged assessment period with costly imaging studies and invasive shunt taps. The proposed sensor module can be integrated with already-commercialized shunt systems and may allow remote, on-demand measurement of shunt status, therapeutic efficacy, and patient health, ultimately improving clinical outcomes while reducing overall treatment costs.
This Small Business Innovation Research (SBIR) Phase II project will focus on the integration of various microsensors to generate a diagnostic data set for data analytics. This data set will significantly advance the scientific/medical understanding of hydrocephalus, which is limited today by the paucity of data on CSF dynamics over time. The system would include several first-to-market capabilities, including chronic repeated measurement of CSF dynamics and automated wireless transduction from multiple sensors to a cloud-based database for analyses and dissemination.
The smart shunt system will enable remote, on-demand monitoring of shunt status, giving physicians the data necessary for timely diagnosis and prediction of shunt failure. At-home electronic shunt monitoring will allow physicians to quantitatively and proactively manage patients' disease in real-time, and thereby improve their quality of life.
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.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "SMALL BUSINESS INNOVATION RESEARCH PROGRAM PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF21565
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Pasadena,
California
91103-3046
United States
Geographic Scope
Single Zip Code
Related Opportunity
21-565
Analysis Notes
Amendment Since initial award the End Date has been extended from 06/30/24 to 12/31/27 and the total obligations have increased 72% from $999,142 to $1,714,851.
Senseer Health was awarded
Cooperative Agreement 2151744
worth $1,714,851
from National Science Foundation in July 2022 with work to be completed primarily in Pasadena California United States.
The grant
has a duration of 5 years 5 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II:Multimodal Diagnostic Microsensors for Monitoring Catheter-based Therapies
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project will be to improve detection and enable prediction of implantable device failure. The first target application is hydrocephalus, a life-long, incurable disease characterized by a buildup of cerebrospinal fluid (CSF) in the brain’s ventricles. Hydrocephalus is treatable by chronically implanting a shunt to divert CSF from the brain into the abdominal cavity. Around 90,000 shunts are implanted in the US each year. However, these shunts fail at alarming rates (40% within the 1st year of use), leading first to nonspecific symptoms such as headaches and blurred vision and then to permanent brain damage and death without clinical intervention. Diagnosing shunt failure is difficult and involves a prolonged assessment period with costly imaging studies and invasive shunt taps. The proposed sensor module can be integrated with already-commercialized shunt systems and may allow remote, on-demand measurement of shunt status, therapeutic efficacy, and patient health, ultimately improving clinical outcomes while reducing overall treatment costs.This Small Business Innovation Research (SBIR) Phase II project will focus on the integration of various microsensors to generate a diagnostic data set for data analytics. This data set will significantly advance the scientific/medical understanding of hydrocephalus, which is limited today by the paucity of data on CSF dynamics over time. The system would include several first-to-market capabilities, including chronic repeated measurement of CSF dynamics and automated wireless transduction from multiple sensors to a cloud-based database for analyses and dissemination. The smart shunt system will enable remote, on-demand monitoring of shunt status, giving physicians the data necessary for timely diagnosis and prediction of shunt failure. At-home electronic shunt monitoring will allow physicians to quantitatively and proactively manage patients’ disease in real-time, and thereby improve their quality of life.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 21-565
Status
(Ongoing)
Last Modified 9/18/25
Period of Performance
7/1/22
Start Date
12/31/27
End Date
Funding Split
$1.7M
Federal Obligation
$0.0
Non-Federal Obligation
$1.7M
Total Obligated
Activity Timeline
Transaction History
Modifications to 2151744
Additional Detail
Award ID FAIN
2151744
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
E1XML4PWNFN8
Awardee CAGE
8STR7
Performance District
CA-28
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
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) | $1,007,142 | 100% |
Modified: 9/18/25