Deep-ICD is research projecting investigating the use of phase space reconstruction (PSR) and machine learning to predict peak ratios of ECG traces

About


The Deep-ICD algorithm reduces ECG traces from Holter Devices to simpler forms through phase space reconstruction (PSR) techniques. These PSRs, accompanied by their peak ratios, as identified by cardiologists, are used to train machine learning models to predict peak ratios.

Developers


Deep-ICD is a collaboration between the University of Southampton's School of Mathematical Sciences, University Hospital Southampton's cardiology department and Decision Analysis Services Limited.

University of Southampton

University Hospital Southampton

Decision Analysis Services Limited