Frequency-domain features
CWT extracts low-amplitude signals invisible to conventional ECG analysis — the patterns AI excels at.
MyoVista wavECG is a portable, clinical-grade ECG device that combines conventional 12-lead diagnostic information with proprietary signal processing — designed to host AI-ECG algorithms directly on the device.

Every wavECG recording produces a complete conventional 12-lead ECG with the highly-acclaimed Glasgow interpretive analysis, plus wavelet-domain features that AI-ECG algorithms can act on directly.
The wavECG device extracts proprietary frequency- and energy-domain features from the ECG that conventional analysis can't see.
CWT extracts low-amplitude signals invisible to conventional ECG analysis — the patterns AI excels at.
The first AI-ECG algorithm slated for the wavECG submission targets impaired cardiac relaxation.
Architected so additional AI-ECG models — aortic stenosis, mitral regurgitation, and more — drop in over the air.
Walk through the platform with our team and see how it fits the ECG management problem you're trying to solve.