Stony Brook, NY – September 15, 2020 — ZBeats INC, a digital health startup focused on scalable cardiac diagnostic software, has been awarded a Phase I Small Business Innovation Research (SBIR) grant from the National Science Foundation (NSF). The award, totaling $256,000 under Award No. 2025951, supports ZBeats’ development of a cloudbased ECG analysis platform designed to improve the eRiciency and accessibility of longterm ambulatory cardiac monitoring.
The funded project centers on the creation of a machine-assisted ECG interpretation system that supports technicians and physicians in identifying arrhythmias more eRiciently and with greater clarity. The proposed solution includes rule-based and data-driven signal processing methods, complemented by annotation and review tools designed to enhance technician oversight and streamline the production of clinical reports.
“This NSF award reflects our commitment to building meaningful tools that support—not replace—clinical decision-making, By combining intelligent signal processing with workflow-focused tools, we hope to oRer providers new ways to manage long-duration ECG data with speed, accuracy, and transparency.”Dr. Bin Fang, CEO and Co-Founder
Exploring Anatomy & Physiology in the Lab
The ZBeats Phase I eRort focused on:
- Developing rule-based and early-stage machine learning algorithms for beat detection and arrhythmia classification.
- Evaluating performance of these algorithms using ANSI/AAMI EC57:2012 benchmarking standards.
- Prototyping interactive annotation tools for use by cardiovascular technicians and clinicians.
- Conducting early user evaluations with potential adopters to refine software usability and design.
The broader impact of this research lies in the potential to reduce delays and improve diagnostic yield in outpatient ECG monitoring, especially for patients at risk of arrhythmia related complications such as syncope, stroke, and sudden cardiac death. By oRering a vendor-neutral, cloud-based system that supports high-volume ECG review, ZBeats aims to help IDTFs, sleep labs, cardiology clinics, and remote patient monitoring (RPM) networks scale services while preserving the interpretive control of clinical teams. This award was made under the NSF’s rigorous review criteria, reflecting both the project’s technical merit and its potential for broader health and economic benefit.
Exploring Anatomy & Physiology in the Lab
ZBeats is a medical technology company focused on software innovation for ambulatory cardiac monitoring. Its platform integrates deterministic ECG analysis, techniciansupervised workflows, and hardware-agnostic compatibility to support scalable, cloudbased diagnostics.

