SBIR/STTR Research Award

Novel, automated mobile heart rhythm analysis technology to start antiarrhythmic medications safely at home

Award identifier f6363475ddcc9967a8c198152d1196cf47e3dfdf592bfb3bcff71dd54f1b8152Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$2,019,072

Program and phase

SBIR · Phase II

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
SAFEBEAT RX INC
Proposal award date
2024-07-19
Contract end date
2026-06-30
UEI
HKSWKR7LD688
Solicitation number
MD23-003
Topic code
NHLBI

Research abstract

PROJECT ABSTRACT This research aims to improve cardiovascular outcomes and quality of life for atrial fibrillation (AF) patients by allowing them to antiarrhythmic drugs (AADs) safely at home. AF is the most common heart rhythm disorder, affecting more than 38 million worldwide and causing significant morbidity and mortality. AADs reduce mortality unlike other AF medications, but access to many is restricted by a three-day hospitalization required to start these oral medications. This is due to a rare (<0.6%) heart rhythm side effect that may require defibrillation and can be avoided by heart rhythm analysis. During a “drug load” hospitalization, corrected QT (QTc) intervals from patient electrocardiograms (ECGs) are manually measured and tracked, as changes in the QTc interval predicts adverse responses to AADs. For AF patients at low risk of proarrhythmia, the cost and risks of hospitalization may outweigh the benefits. Importantly, for minority and rural populations where access to elective hospitalization is limited, there is underutilization of guideline-based AF therapy and higher mortality. The goal of this proposal is to develop a SafeBeat Kit that combines commercially available products (mobile ECG device, mobile cardiac telemetry, and wearable defibrillator), with proprietary software that allows patients to start AADs safely at home. In Phase-I equivalent studies, SafeBeat Rx developed the first machine learning (ML) algorithm to automate QTc measurements from 12-lead and mobile 6-lead ECGs. The high QTc accuracy (5±7 ms) enabled the algorithm to recommend AAD dosing with 90% accuracy compared to physicians. These successful results have proven feasibility for the algorithm to support outpatient drug loading and ultimately replace the three-day hospitalization. Results have also enabled us to submit an FDA 510(k) application for approval of the QTc algorithm, which is currently underway. Our Phase II proposal is a human study validating the SafeBeat Rx algorithm on the intended use population: AF patients starting AADs. During inpatient “drug load” admissions, we will provide patients with commercially available devices approved for home use and compare SafeBeat software QTc measurements and AAD dosing recommendations to real-time decisions made by the expert medical team. This technology will improve our ability to deliver standard of care AF treatment at home safely via remote patient monitoring. Informed by the National Institute on Minority Health and Health Disparities (NIMHD) Research Framework, this technology will be designed to address disparities in AAD hospitalizations that disproportionately affect rural communities and minority patients. Once SafeBeat Rx technology is validated on the target population (Phase II), future studies will compare hospital care with home-based care guided by SafeBeat Rx. This proposal is supported by the manufacturer of the only FDA- approved wearable cardioverter defibrillator (LifeVest, Zoll) and by insurers due to significant cost savings.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2024). Reported award amounts total $2,314,225. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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