Title : Implementation of vector based approach using cardiac vector theory in mobile ECG application to improve ECG Competence for Junior Medical Professionals
Abstract:
Introduction: Mobile ECG applications detect the heart's electrical signals from the skin surface using the electrodes and sensors. The signals are amplified and then filtered to remove artifacts. The software identifies the various components of the ECG waves, analyze them and display the usual metrics. This can be transmitted to a healthcare professional through wireless transmission which helps in decreasing the time delay in detection of abnormal ECG findings and the earlier management of coronary artery diseases especially the myocardial infarction.
ECG is one of the most important, cost-effective, safest, non-invasive cardiac diagnostic tests done in hospital settings which requires only few minutes to complete the test and get the results yet its interpretation remains a challenging and arduous task for junior medical staffs that often requires expert opinion. Before a century Einthoven used vectors to represent the cardiac electrical activity. The complete detailed description of the Cardiac vector theory and its clinical utility for ECG interpretation was proposed and explained in detail by Rajini Samuel (current author) in the previous research articles.
Aim: To Implement the Vector Based Approach using Cardiac Vector Theory in Mobile ECG Application to improve ECG Competence for Junior Medical Professionals
Methods: The proposed cardiac vector theory was derived using the mathematical concepts of dot product of two vectors. The projection of heart vector onto the lead vector is applied. Using their relationship the cardiac vector angle and magnitude can be easily understood and calculated. Each cardiac wave (P, QRS, T, ST Segment) represented in the form of circles can be constructed utilizing MATLAB software by the already existing equations that interrelates the bipolar and unipolar limb lead voltage recordings.
Results: Cardiac vector magnitude and angle(axis) determination was clearly depicted in each of the four quadrant using graphical vector representation citied with various abnormal ECGs. The cardiac axis calculation remains an arduous and challenging task. Therefore this detailed vector based approach will serve as an important guide to the medical students to easily observe, understand and comprehend the changes in the magnitude and direction of the cardiac vector in various common clinical conditions like ischemia, injury, infarction, hypertrophy, enlargement, bundle branch block etc.
Conclusion: The cardiac vector theory forms the basic foundation for the initial teaching of ECG tracings and guide us to analyze, correlate and comprehend the observed changes in ECG waves in various leads in different cardiac conditions. The implementation of vector based approach in Mobile ECG Application by graphical cardiac vector representation using the cardiac vector theory may help in improving the ECG competence among the junior medical professionals thereby reducing the time lag between the detection and management of cardiac emergencies. This may serve as a supporting diagnostic tool for ECG interpretation for earlier screening and quicker referral to a speciality center for further management.
Keywords: Mobile Application, Supporting Diagnostic Tool, ECG Interpretation, Cardiac Vector Theory


