System and a method for using a novel electrocardiographic screening algorithm for reduced left ventricular ejection fraction

A system for identifying a patient with electrocardiogram (ECG) abnormalities comprising:

• an ECG monitoring device;
• a server;
• a database;
• a memory containing machine readable medium comprising a machine executable code having stored thereon instructions for analyzing ECG data;
• and
• a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to:
• receive an ECG data output from the ECG monitoring device;
• process the ECG data output to identify abnormalities in any combination of ECG parameters selected from at least:
• a resting heart rate, a global P-wave duration, a PR interval, a QRS duration, a QTc interval, a QRS-T angle, an intrinsicoid deflection, a QRS transition zone, a T-peak to T-end interval, and a left ventricular hypertrophy amount;
• and
• analyze the abnormalities in the ECG parameters to determine whether the patient has at least a threshold number of abnormal ECG parameters,
• wherein the ECG monitoring device, the server, the database, the memory, and the processor are coupled to a network via communication links,
• wherein having at least the threshold number of abnormal ECG parameters indicates that the patient has reduced left ventricular ejection fraction (LVEF).