Electrocardiogram heterogeneity:

Electrocardiogram (ECG) heterogeneity is a measurement of the amount of variance between one ECG waveform and the next. This heterogeneity can be measured by placing multiple ECG electrodes on the chest and by then computing the variance in waveform morphology across the signals obtained from these electrodes. Recent research suggests that ECG heterogeneity often precedes dangerous cardiac arrhythmias.

Background:

There are over 350,000 cases of sudden cardiac death (SCD) in the United States each year, and over twenty percent of these cases involve people with no outward signs of serious heart disease. For decades, researchers have been attempting to come up with methods of identifying electrocardiogram (ECG) patterns that reliably precede dangerous arrhythmias. As these methods are found, devices are being created that monitor the heart in order to detect the onset of dangerous rhythms and to correct them before they cause death.

Research:

Research being conducted suggests that a crescendo in ECG heterogeneity, both in the R-wave and the T-wave, often signals the start of ventricular fibrillation. In patients with coronary artery disease, exercise increases T-wave heterogeneity, but this effect is not seen in normal patients. These results, when combined with other pieces of emerging evidence, suggest that R-wave and T-wave heterogeneity both have predictive value.

Future applications:

In the future, researchers hope to automate the process of heterogeneity detection and to augment the clinical evidence supporting the validity of ECG heterogeneity as a predictor of arrhythmia. Someday soon, implantable devices may be programmed to measure and track heterogeneity. These devices could potentially help ward off arrhythmias by stimulating nerves such as the vagus nerve, by delivering drugs such as beta-blockers, and if necessary, by defibrillating the heart.