Three-dimensional standard electrocardiogram: A first approach based on precordial leads

Area of Science:

• Cardiology
• Biomedical Engineering
• Medical Imaging

Background:

• Traditional 2D electrocardiography (ECG) has limitations in capturing the full complexity of cardiac electrical activity.
• A novel 3D ECG methodology is proposed, derived from standard 2D recordings, to provide enhanced spatial insights without new hardware.
• A new metric, 'almost-curvature,' is introduced to optimize the detection of acute ischemic states, addressing diagnostic sensitivity issues.

Purpose of the Study:

• To introduce the methodology for developing 3D ECG.
• To evaluate the diagnostic utility of 3D ECG in detecting morphological changes associated with acute myocardial ischemia.
• To assess the effectiveness of perimeter, curvature, and almost-curvature metrics in diagnosing ischemia.

Main Methods:

• Developed a 3D ECG methodology using spherical-to-Cartesian coordinate transformations on standard ECG data.
• Utilized PhysioNet database and validated with patient datasets of induced myocardial ischemia.
• Extracted and compared perimeter, curvature, and almost-curvature metrics from 2D and 3D ECG across different ischemic states using statistical tests and clustering analyses.

Main Results:

• A correlation was found between standard deflections in 3D ECG and novel loops generated by the methodology.
• The 'almost-curvature' metric demonstrated superior detection of variations between ischemic states compared to traditional curvature metrics.
• 3D ECG analysis revealed an increase in curvature and perimeter during ischemia, capturing changes potentially missed by 2D methods.

Conclusions:

• 3D ECG analysis shows potential for enhanced detection of ischemic alterations by providing detailed spatial representation of cardiac electrical activity.
• The methodology integrates temporal and voltage dynamics, potentially revealing subtle ischemic morphological changes.
• Further studies are essential to validate the clinical applicability and address limitations of this promising diagnostic tool.