R01EB027122
Project Grant
Overview
Grant Description
Wearable Multi-Modality Cuffless Blood Pressure Monitoring - Abstract
Continuous blood pressure (BP) is one of the most critical monitoring parameters during anesthesia, surgery, and in intensive care units (ICU). Both hypotension and hypertension can impair the function of vital organs (e.g. brain, heart, and kidneys), and intraoperative hypotension is associated with postoperative mortality, which makes it important to detect BP changes as quickly as possible to prompt timely intervention or therapy.
However, the current gold standard technology for BP monitoring, an invasive arterial line (A-line), causes patient suffering (physical pain) and increases the risk of infection. In the United States, about 80,000 blood stream infections caused by an arterial catheter are reported annually. Due to the inherent risks associated with A-line, it is used only for clinically indicated high-risk surgeries or ICU patients. As a result of the A-line risks and discomforts, even though more than 300 million surgeries are performed worldwide each year, only a small portion receive continuous BP monitoring.
In addition, although vital sign (ECG, pulse oximetry, BP, etc.) monitoring is routine in surgical rooms and ICUs, currently most monitoring devices are fixed in individual rooms, which result in gaps in patient monitoring, accidents during patient transport process, and extra work to disconnect and reconnect sensors when leaving and entering a new facility. Seamless "continuum of care" monitoring—for instance from surgical room to ICUs, including transport in between and without reconnecting sensors—is on top of the wish list by clinicians.
In recent years, efforts have been made to develop portable ECG monitors and "mobile ICUs"; however, so far, no continuous and seamless BP monitoring has been achieved. This proposal fully leverages the outcomes from the related R21 (EB022271) project. We will develop novel machine learning and deep learning based data fusion algorithms to use existing vital signs for continuous BP monitoring, then integrate them with our unique wearable patient monitoring system to form a novel perioperative patient monitoring system. We will test the system's performance against gold standard A-line and Finapres BP technologies, to develop a fully functional technology for noninvasive, continuous, and seamless BP monitoring. We will also develop a public database for future BP technology development.
The proposed multimodality algorithms, seamless BP monitoring system, and PhysioNet database will provide major steps forward to meet the clinical need for noninvasive continuous BP monitoring.
Continuous blood pressure (BP) is one of the most critical monitoring parameters during anesthesia, surgery, and in intensive care units (ICU). Both hypotension and hypertension can impair the function of vital organs (e.g. brain, heart, and kidneys), and intraoperative hypotension is associated with postoperative mortality, which makes it important to detect BP changes as quickly as possible to prompt timely intervention or therapy.
However, the current gold standard technology for BP monitoring, an invasive arterial line (A-line), causes patient suffering (physical pain) and increases the risk of infection. In the United States, about 80,000 blood stream infections caused by an arterial catheter are reported annually. Due to the inherent risks associated with A-line, it is used only for clinically indicated high-risk surgeries or ICU patients. As a result of the A-line risks and discomforts, even though more than 300 million surgeries are performed worldwide each year, only a small portion receive continuous BP monitoring.
In addition, although vital sign (ECG, pulse oximetry, BP, etc.) monitoring is routine in surgical rooms and ICUs, currently most monitoring devices are fixed in individual rooms, which result in gaps in patient monitoring, accidents during patient transport process, and extra work to disconnect and reconnect sensors when leaving and entering a new facility. Seamless "continuum of care" monitoring—for instance from surgical room to ICUs, including transport in between and without reconnecting sensors—is on top of the wish list by clinicians.
In recent years, efforts have been made to develop portable ECG monitors and "mobile ICUs"; however, so far, no continuous and seamless BP monitoring has been achieved. This proposal fully leverages the outcomes from the related R21 (EB022271) project. We will develop novel machine learning and deep learning based data fusion algorithms to use existing vital signs for continuous BP monitoring, then integrate them with our unique wearable patient monitoring system to form a novel perioperative patient monitoring system. We will test the system's performance against gold standard A-line and Finapres BP technologies, to develop a fully functional technology for noninvasive, continuous, and seamless BP monitoring. We will also develop a public database for future BP technology development.
The proposed multimodality algorithms, seamless BP monitoring system, and PhysioNet database will provide major steps forward to meet the clinical need for noninvasive continuous BP monitoring.
Awardee
Funding Goals
NOT APPLICABLE
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Charlestown,
Massachusetts
02129
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 412% from $595,683 to $3,047,882.
The General Hospital Corporation was awarded
Noninvasive Continuous Blood Pressure Monitoring System - Proposal
Project Grant R01EB027122
worth $3,047,882
from the National Institute of Biomedical Imaging and Bioengineering in May 2021 with work to be completed primarily in Charlestown Massachusetts United States.
The grant
has a duration of 3 years 8 months and
was awarded through assistance program 93.286 Discovery and Applied Research for Technological Innovations to Improve Human Health.
The Project Grant was awarded through grant opportunity Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Complete)
Last Modified 6/20/24
Period of Performance
5/1/21
Start Date
1/31/25
End Date
Funding Split
$3.0M
Federal Obligation
$0.0
Non-Federal Obligation
$3.0M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01EB027122
Transaction History
Modifications to R01EB027122
Additional Detail
Award ID FAIN
R01EB027122
SAI Number
R01EB027122-4239085740
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Nonprofit With 501(c)(3) IRS Status (Other Than An Institution Of Higher Education)
Awarding Office
75N800 NIH NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING
Funding Office
75N800 NIH NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING
Awardee UEI
FLJ7DQKLL226
Awardee CAGE
0ULU5
Performance District
MA-07
Senators
Edward Markey
Elizabeth Warren
Elizabeth Warren
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Health and Human Services (075-0898) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,086,222 | 57% |
National Institute on Aging, National Institutes of Health, Health and Human Services (075-0843) | Health research and training | Grants, subsidies, and contributions (41.0) | $834,784 | 43% |
Modified: 6/20/24