Signal Processing
AI Driven ECG Annotation
We developed a method for training a neural network to learn the underlying features of an ECG signal. This allows us to accurately label new ECG signals even when noise and artifacts are present.
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![](/assets/img/people/Michael-Feist.jpg)
Michael Feist
VP of Product Development