Heart Rhythm 2024: HeartBeam AI and VCG Bests Expert Cardiologists in Spotting Arrhythmia

HeartBeam announced new data showing that its HeartBeam AI combined with vectorcardiography (VCG) outperformed an expert panel of heart rhythm cardiologists in detecting atrial flutter.
 
HeartBeam AI was applied to a set of 173 VCGs, single-lead ECGs and 12-lead ECGs to identify atrial flutter. The same set was reviewed by a panel of three electrophysiologists (EP panel) for atrial flutter. Atrial flutter is a common arrhythmia that increases a patient’s risk of stroke.
 
The data was presented at the Heart Rhythm Society annual meeting.
 
The data is as follows:

• Outperformed an expert panel reviewing single-lead ECGs, with a statistically significant 40% improvement in the detection of atrial flutter cases (sensitivity: 97.3% for HeartBeam AI+VCG vs. 69.4% for EP panel).
• Demonstrated a statistically significant 6% improvement in the detection of atrial flutter cases compared to an expert panel reviewing 12-lead ECGs (sensitivity: 97.3% for HeartBeam AI+VCG vs. 91.1% for EP panel).
• Delivered zero variability in the detection of atrial flutter compared to the EP panel.

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 Company’s first planned application of the 3D VECG platform technology is HeartBeam AIMIGo, a credit card-sized device for patient use at home or anywhere, which is currently under review with the FDA.
 
“The data is incredibly encouraging, showcasing the potential of our artificial intelligence program to improve diagnostic accuracy when a patient is outside of a medical facility,” said Branislav Vajdic, Ph.D., CEO and founder of HeartBeam. “We’ll continue to build upon this strong foundation as we advance our AI program to revolutionize cardiac care management in the future.”