At a glance
- Company
- HeartBeam, Inc.
- Ticker
- NASDAQ: BEAT
Key figures
- Patients evaluated
- 184
- AUC using one ECG reading, risk factors and symptoms
- 86.5%
- AUC with a symptom-free baseline ECG
- 92.9%
Products and programs

HeartBeam (NASDAQ: BEAT) a medical technology company focused on transforming cardiac care by providing powerful cardiac insights, announced that a peer-reviewed article in JACC: Advances demonstrated that a risk prediction algorithm incorporating the credit card-sized HeartBeam ECG device can accurately identify heart attack risk in patients presenting with chest pain.
HeartBeam said the proof-of-concept study evaluated 184 patients and found that the algorithm achieved an “area under the curve” (“AUC”) of 86.5% using a single HeartBeam ECG reading combined with patient risk factors and symptoms, rising to 92.9% when a personal, symptom-free baseline ECG was available for comparison. The company said the results support heart attack detection as a future indication for the HeartBeam System and advance its broader clinical program.
To view the full press release, visit https://ibn.fm/ainxV
About HeartBeam, Inc.
HeartBeam, Inc. is a medical technology company dedicated to transforming the detection and monitoring of critical cardiac conditions. The Company is creating the first-ever cable-free device capable of collecting ECG signals in 3D, from three non-coplanar directions, and synthesizing the signals into a 12-lead ECG. This platform technology is designed for portable devices that can be used wherever the patient is to deliver actionable heart intelligence. Physicians will be able to identify cardiac health trends and acute conditions and direct patients to the appropriate care – all outside of a medical facility, thus redefining the future of cardiac health management. HeartBeam’s 3D ECG technology received FDA clearance for arrhythmia assessment in December 2024 and the 12-lead ECG synthesis software in December 2025(1). The Company holds over 20 issued patents related to technology enablement.
(1)Cleared Indications for Use
The HeartBeam System with 12-Lead ECG synthesis software for arrhythmia assessment received FDA clearance in December 2025. Refer to the Company’s Cleared Indications for Use at https://www.heartbeam.com/indications for details on the intended use of its technology.
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In brief
HeartBeam, Inc. says a peer-reviewed article in JACC: Advances reported findings from a proof-of-concept study of an algorithm using ECG readings from its portable device. The study included 184 patients with chest pain. According to the company, the algorithm’s area-under-the-curve result was 86.5% when it used one HeartBeam ECG reading alongside patient risk factors and symptoms. The result was 92.9% when a personal ECG recorded while the patient was symptom-free was also available for comparison. HeartBeam says the findings support further work on heart attack detection as a potential indication for its system and contribute to its wider clinical program. The release notes that the company’s ECG technology and synthesis software have received FDA clearances for arrhythmia assessment.
Key takeaways
- A peer-reviewed article reported results from a HeartBeam algorithm study involving 184 patients with chest pain.
- The company reported an AUC of 86.5% using one ECG reading with patient risk factors and symptoms.
- The reported AUC was 92.9% when a symptom-free personal ECG baseline was available.
- HeartBeam says the findings support continued clinical work on heart attack detection as a potential indication.
SEC filings
Earlier from HeartBeam, Inc.
- HeartBeam (NASDAQ: BEAT) Advances Commercial Launch, Reports First-Quarter 2026 Results
- HeartBeam (NASDAQ: BEAT) Launches Pilot Study for On-Demand 12-Lead ECG Patch in Coronary Artery Disease Patients
- HeartBeam (NASDAQ: BEAT) to Host Q1 2026 Earnings Call and Provide Strategic Updates
- HeartBeam (NASDAQ: BEAT) Closes $10M Public Offering to Advance Cardiac Technology Commercialization
- HeartBeam (NASDAQ: BEAT) Launches Proposed Public Offering to Support Commercialization and AI Initiatives