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HeartBeam Presents Positive Results on its Artificial Intelligence Capabilities for Detecting Arrhythmias

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HeartBeam, Inc. (BEAT) presents groundbreaking data at EHRA conference showcasing the efficacy of HeartBeam AI in detecting atrial flutter. The study reveals a 28% improvement over single-lead ECGs, aligning with 12-lead ECG performance standards.
Positive
  • HeartBeam, Inc. demonstrates significant advancements in atrial flutter detection using HeartBeam AI with VCG.
  • Vivek Reddy, MD, presents the data at the EHRA conference, highlighting the superior performance of the AI algorithms.
  • The study shows a 28% improvement in sensitivity for VCG compared to single-lead ECGs, maintaining high specificity levels.
  • HeartBeam AI proves to be a promising technology for enhancing cardiac care through personalized insights.
Negative
  • None.

The recent findings presented by HeartBeam, Inc. regarding the efficacy of their AI-driven vectorcardiography (VCG) technology in detecting atrial flutter are noteworthy. Atrial flutter, a heart rhythm disorder, poses diagnostic challenges and can lead to serious complications if not identified and managed appropriately. The current standard for diagnosis is the 12-lead ECG, which is not as readily available as single-lead ECG systems found in consumer wearables.

The reported 28% improvement in detection rates over single-lead ECGs is a significant leap forward. This enhancement could potentially lead to better patient outcomes through earlier detection and treatment. Moreover, the high specificity rate of 98.7% implies that false positives are minimal, which is important in preventing unnecessary treatments that can arise from misdiagnosis.

From a medical perspective, integrating such AI technology into routine clinical practice could revolutionize the way cardiac arrhythmias are monitored, especially in outpatient settings or remote areas where access to comprehensive ECG equipment may be limited.

HeartBeam's AI technology's potential market impact is substantial, given the increasing prevalence of wearable technology in healthcare. The global market for smartwatches and fitness trackers is expanding, with consumers becoming more health-conscious and seeking devices that offer advanced health monitoring features.

HeartBeam's advancement positions them favorably within the digital health sector, especially in the cardiology sub-segment. The ability of their AI algorithm to operate with a high degree of accuracy in concert with VCG could see them capture a significant share of the market, especially if their technology is integrated into consumer wearables. This could disrupt the current landscape where 12-lead ECGs are the gold standard, offering a more accessible and cost-effective solution for cardiac monitoring.

Investors might view this as an opportunity for growth, especially if HeartBeam secures partnerships with wearable manufacturers or gains traction in telehealth services. However, the adoption rate will depend on regulatory approvals, clinical adoption and the scalability of their technology.

The announcement by HeartBeam, Inc. is likely to have a positive influence on investor sentiment, as it presents a technological advancement with the potential to capture a new market segment. The financial implications hinge on the company's ability to commercialize their AI and VCG technology effectively.

Investors will be looking at the company's roadmap for regulatory approval, as well as their strategy for market penetration and partnership formation. The costs associated with these processes, along with the timeline for revenue generation, will be critical factors in assessing the company's financial health and stock valuation.

Given the specificity and sensitivity rates reported, the technology could become a new standard for atrial flutter detection, which may lead to a reevaluation of the company's long-term revenue potential. However, it is essential to consider the costs of R&D, marketing and sales as they scale up operations. A careful analysis of their balance sheet and cash flow statements in subsequent quarters will provide a clearer picture of the financial impact of this technological development.

New Data Presented at the European Heart Rhythm Association Conference Marks First Scientific Presentation on HeartBeam AI, the Company’s Deep Learning Technology

Data Shows HeartBeam AI Combined with VCG Greatly Improves Detection of Atrial Flutter over Single-Lead ECGs Found in Leading Smartwatches and Other Wearables

SANTA CLARA, Calif.--(BUSINESS WIRE)-- HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through the power of personalized insights, today announced new data demonstrating that applying the company’s artificial intelligence (AI) algorithms to vectorcardiography (VCG) showed considerably improved performance in the detection of atrial flutter over single-lead electrocardiograms (ECGs) and similar performance to 12-lead ECGs, the standard for diagnosing atrial flutter. This marks the first scientific presentation on the company’s deep learning algorithm, HeartBeam AI. The data was presented by Vivek Reddy, MD, Director of Cardiac Arrhythmia Services at The Mount Sinai Hospital, during the European Heart Rhythm Association (EHRA) conference in Berlin, Germany.

In the study, HeartBeam AI with VCG demonstrated a 28% improvement over single-lead ECG in the detection of atrial flutter cases (sensitivity of 91.0% for VCG vs. 71.2% for single-lead ECG) without sacrificing the ability to identify those individuals without atrial flutter (specificity of 98.7% for VCG vs. 96.9% for single-lead ECG). Additional details about the study can be found here.

Smartwatches have become increasingly popular for detecting and monitoring abnormalities in the timing or pattern of heartbeats but only offer a single-lead ECG, which greatly limits their ability to detect a broad range of cardiac irregularities. Atrial flutter is a common irregularity, or arrhythmia, that typically requires a healthcare professional to administer a 12-lead ECG in a medical setting which is not always practical or even possible at the time of a cardiac event.

HeartBeam’s core vectorelectrocardiography (3D VECG) technology captures the heart’s signals in three projections (X, Y, Z), similar to VCG, and synthesizes a 12-lead ECG. The technology is designed to be used in HeartBeam’s small, portable, patient-friendly devices that allow for remote cardiac monitoring. The Company’s first planned application of the 3D VECG platform technology is the HeartBeam AIMIGo™, a credit card-sized device for patient use at home or anywhere, which is currently under review with FDA.

“The study presented at the EHRA conference shows that HeartBeam AI combined with VCG delivers equivalent performance to a 12-lead ECG and greatly improves detection of atrial flutter over a single-lead ECG, underscoring the limitations of current wearable technologies. This presents an opportunity for a VCG-based algorithm that offers arrhythmia detection capabilities beyond what is available today and to fill gaps in healthcare inequality when obtaining a 12-lead ECG is challenging,” said Dr. Reddy.

The HeartBeam technology gathers far more data than a single-lead ECG. By leveraging AI to analyze these data-rich signals, HeartBeam believes it will be able to improve diagnostic accuracy and the technology has the potential to extract unique information that could go beyond today’s 12-lead ECGs as data of great diagnostic value is gathered from the same patients using the device over time. HeartBeam believes this presents a unique opportunity to create a comprehensive repository of data that could unlock personalized AI-driven insights to improve cardiac care.

“The intent of our AI program is to leverage our novel VECG platform to unlock detection and prediction capabilities currently limited to healthcare facilities and make them readily accessible and available to the patient, and this new data is a clear example of what we can accomplish,” said Branislav Vajdic, PhD, CEO and Founder of HeartBeam. “As we continue to expand our artificial intelligence capabilities, we look forward to demonstrating how the combination of our data rich 3D VECG platform with HeartBeam AI has the potential to transform how cardiac health is managed in the future.”

About HeartBeam, Inc.

HeartBeam, Inc. (NASDAQ: BEAT) is a medical technology company that is dedicated to transforming cardiac care through the power of personalized insights. The company’s proprietary vectorelectrocardiography (VECG) technology collects 3D signals of the heart’s electrical activity and converts them into a 12-lead ECG. This platform technology is designed to be used on portable, patient-friendly devices such as a credit-card sized monitor, watch or patch. 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 how cardiac health is managed in the future. For additional information, visit HeartBeam.com.

Forward-Looking Statements

All statements in this release that are not based on historical fact are "forward-looking statements." While management has based any forward-looking statements included in this release on its current expectations, the information on which such expectations were based may change. Forward-looking statements involve inherent risks and uncertainties which could cause actual results to differ materially from those in the forward-looking statements, as a result of various factors including those risks and uncertainties described in the Risk Factors and in Management’s Discussion and Analysis of Financial Condition and Results of Operations sections of our Forms 10-K, 10-Q and other reports filed with the SEC and available at www.sec.gov. We urge you to consider those risks and uncertainties in evaluating our forward-looking statements. We caution readers not to place undue reliance upon any such forward-looking statements, which speak only as of the date made. Except as otherwise required by the federal securities laws, we disclaim any obligation or undertaking to publicly release any updates or revisions to any forward-looking statement contained herein (or elsewhere) to reflect any change in our expectations with regard thereto or any change in events, conditions or circumstances on which any such statement is based.

Investor Relations Contact:

Chris Tyson

Executive Vice President

MZ North America

Direct: 949-491-8235

BEAT@mzgroup.us

www.mzgroup.us

Media Contact:

media@heartbeam.com

Source: HeartBeam, Inc.

FAQ

What technology did HeartBeam, Inc. present data on at the EHRA conference?

HeartBeam AI

What is the ticker symbol for HeartBeam, Inc.?

BEAT

Who presented the data at the EHRA conference?

Vivek Reddy, MD

What was the improvement percentage in atrial flutter detection using VCG over single-lead ECGs?

28%

What was the specificity percentage for VCG in the study?

98.7%

Heartbeam, Inc.

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About BEAT

heartbeam developed a mhealth technology that is diagnostically equivalent to a cardiologist reading a patient’s 12 lead ecg and examining the patient. it comprises a credit card size, 12 lead equivalent, ecg device and a cloud-based diagnostic expert system. studies designed by harvard medical school faculty have shown heartbeam performance to be equal or better than world class cardiologists in diagnosing a heart attack. the technology features personalized diagnostic thresholds and novel heart attack ecg markers from which the application can also help cardiologists locate a heart attack on a 3d model of the heart. heartbeam's icardiologist application utilizes artificial intelligence / machine learning to drive continuous improvements of the system's ability to provide patient analysis and improve the solution's predictive properties.