Speaker
Description
We present an approach to predict ECG waves with non-linear autoregressive
exogenous neuromorphic (NARX) software. These predictions are important in
comparing the underlying QRS complex of the ECG-wave with the slowly
deteriorating waves (or arrythmia) in cardiac patients. A deep Q-wave for
instance (such as 1/4 of the R-wave) is a typical sign of (inferior wall)
myocardial necrosis - associated in most cases with vascular dysfunction.
It is important to have a rolling predictor - slow ECG wave degradation
being normal. A real-time predictor takes into account a suite of
influencing parameters (body temperature, effort, current medication,
sugar levels, stress, etc), being much better suited in making a call for
"normal" vs. "anomalous" ECG waves, rather than some outdated reference
waves. Although this research is in its begining, it shows encouraging
results, which clinical studies can conclude as to how effective the
approach may be.
