WCTECGdb: A 12-Lead Electrocardiography Dataset Recorded Simultaneously with Raw Exploring Electrodes' Potential...

Area of Science:

• Biomedical Engineering
• Cardiology
• Medical Informatics

Background:

• Standard 12-lead electrocardiography (ECG) provides crucial cardiac diagnostics.
• The Wilson's Central Terminal (WCT) signal, derived from exploring electrodes, is less commonly analyzed.
• A comprehensive dataset with raw biopotential data for WCT analysis is needed.

Purpose of the Study:

• To introduce and describe the WCTECGdb, a novel dataset of surface ECG recordings.
• To analyze the characteristics and clinical relevance of the Wilson's Central Terminal (WCT) signal.
• To explore potential applications of the WCTECGdb in understanding cardiac electrical pathways.

Main Methods:

• Collected 540 ten-second ECG segments from 92 patients at Campbelltown Hospital.
• Recorded standard 12-lead ECG alongside raw biopotential data from nine exploring electrodes referenced to the right leg.
• Utilized Physionet platform for data availability and analysis.

Main Results:

• The WCT signal exhibits substantial amplitude (up to 247% of lead II) and standard ECG waveform components (p-wave, t-wave).
• WCT signal amplitude and characteristics show significant variability throughout the cardiac cycle.
• Analysis indicated electrically significant conductive pathways between the legs and the heart in some patients.
• The assumption of left arm potential dominance was challenged, suggesting case-by-case assessment is required.

Conclusions:

• The WCTECGdb is a valuable resource for research into ECG signal processing and cardiac electrophysiology.
• The Wilson's Central Terminal (WCT) signal contains diagnostically relevant information.
• Further investigation into limb lead potentials and inter-electrode signal pathways is warranted.