Predictor® 7.0 sets the industry standard for Signal Averaged Electrocardiography (SAECG)
Software by combining intuitive Windows® graphical user interface (GUI) with outstanding product features
and functionality:
- SAECG Analysis for Late Potential detection in both Time and Frequency Domains
- Time Domain Analysis with choice of filters including:
- Patented Bi-directional Butterworth and Bi-Spec Filters
- FIR and Least Squares Filters
- P-wave Signal Averaging and Analysis for the assessment of the AF patient
- FFT and patented Intraspect™ Acceleration Spectrum Analysis algorithms for SCD risk analysis in the Frequency Domain

The patented SAECG methodology used in Predictor is the only product that is fully compliant with the Standards for Late Potential Analysis set by the European Society of Cardiology, the American College of Cardiology and the
American Heart Association1. Predictor’s six-pane vector magnitude reports visually highlight late potentials in color. Test results indicate Normal, Borderline, and Abnormal signal-averaged ECG results for simplified interpretation. Windows-based Predictor can be configured to work with existing high resolution ECG equipment.
For more information or to see a demo please don't hesitate to contact us.
What Others Are Saying About Predictor®?
"The 'Gold Standard' in SAECG"
- ACC/ESC/AHA SAECG Task Force
“Predictor® is a very valuable risk stratification tool for cardiologists and electro-physiologists in the management of post-MI patients. Predictor is currently being used in a funded NIH investigation into Risk Stratification of MADIT II Type Patients.”
- National Institutes of Health
What Is Signal Averaging?
Signal averaging, which improves the signal-to-noise ratio, is a well-recognized technique for detecting and analyzing microvolt signals such as ventricular late potentials. High resolution acquisition equipment is used to collect the microvolt signals and transfer the data to a Windows PC for analysis. ART’s patented algorithms embedded in the Predictor software then filter and analyze the data to present the signal-averaged ECG for interpretation by a cardiologist.
