Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data

Modern electrocardiography (ECG) 1 uses the Wilson Central Terminal (WCT) as a reference point for the majority of leads. WCT is assumed to be near zero and steady during the cardiac cycle. However, due to the measurement encumbrances of the real amplitude of WCT, this assumption has never been verified in clinical practice. Using our own recently developed 15-lead ECG device that can measure WCT components in addition to 12-lead ECGs in a clinical setting, we propose a framework to derive a New Central Terminal (NCT) with demonstrated less variation and near zero amplitude during the cardiac cycle. Our method is based upon application of a Genetic Algorithm (first 1000 samples), and then a linear regression to calculate the NCT for the rest of the recording.