The PREDICTOR™ signal averaged electrocardiography software is a customizable modular software product that is designed to be configurable for many hardware platforms. Our latest release of PREDICTOR™ allows it to be used with customer-specific electrocardiogram acquisition equipment to generate the signal averaged ECG. The software can be easily customized to interface with a variety of Original Equipment Manufacturer (OEM) hardware. OEM customers can now purchase the right to license PREDICTOR™ and bundle it with other cardiac diagnostic software packages incorporated in their acquisition equipment.
Credibility is high in this PREDICTOR™ implementation because it utilizes the Bi-directional, Four-pole Butterworth Filtering technique defined as the Standard by the joint AHA/ACC/ESC task force on Signal-Averaging Electrocardiography. The company that supplies a hardware platform that can partner with the ART PREDICTOR™ SAECG Software has the advantage of a short product development cycle that results in a robust SAECG diagnostic tool in the marketplace.
A signal-averaged electrocardiogram (SAECG) detects cardiac microvolt (one-millionth (10-6) of a volt) signals. Signal-averaging, which improves the signal to noise ratio, is the only means to identify and analyze such cardiac microvolt signals. High resolution acquisition equipment is used to collect the microvolt signals and transfer the data to a specified file format. The PREDICTOR™ software is used to analyze and filter the data to present the signal-averaged ECG (SAECG) for interpretation by the cardiologist.
The most commonly demonstrated use for SAECG is the ability to predict the likelihood of sustained ventricular tachycardia, ventricular fibrillation, and sudden cardiac death (SCD). The most important aspect of SAECG is its ability to predict those who will not experience these events. SAECG is recommended for patients recovering from myocardial infarction to help determine their risk for developing sustained ventricular tachyarrhythmia's (VT) that could lead to sudden cardiac death.
Specifically, SAECG have been demonstrated to have predictive values in the following areas:
- Stratification of risk of sustained ventricular tachyarrhythmia's in patients recovering from myocardial infarction,
- Patients with ischemic (inadequate blood supply) heart disease,
- Assessment of risk of sudden cardiac death and predictive value of the need for an implantable cardiac defibrillator (ICD) in patients with coronary artery disease - a condition that results when the coronary arteries are narrowed or occluded, most commonly by atherosclerotic deposits of fibrous and fatty tissue.
Please contact us to get more information about PREDICTOR™ Software.