[PDF][PDF] Study of ECG Quality using Self Learning Techniques.
G Toninelli, A Gerevini, I Serina, M Vaglio, F Badilini - CinC, 2014 - amps-llc.com
G Toninelli, A Gerevini, I Serina, M Vaglio, F Badilini
CinC, 2014•amps-llc.com… Since there is not a consensus on how to define and quantify ECG quality, we applied self
learning techniques starting from a set (N=1000) of randomly selected ECGs from our internal
repository. The full set of ECGs was blindly flagged by an expert cardiologist and subsequently
analyzed by AMPS software which automatically computes a set of quality metrics. These
… The aim of this paper is to introduce a method based on self-learning techniques, using
a set of pre-evaluated ECGs to train a neural network (NN) and build a decision tree (DT). …
learning techniques starting from a set (N=1000) of randomly selected ECGs from our internal
repository. The full set of ECGs was blindly flagged by an expert cardiologist and subsequently
analyzed by AMPS software which automatically computes a set of quality metrics. These
… The aim of this paper is to introduce a method based on self-learning techniques, using
a set of pre-evaluated ECGs to train a neural network (NN) and build a decision tree (DT). …
Abstract
The aim of this study was to develop a method that could automatically evaluate the quality of ECG recordings.
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