Clinical study

 

Project co-financed by the European Union through the European Regional Development Fund under the Smart Growth Operational Programme. The project is carried out as part of the National Center for Research and Development: Fast Track: “6 / 1.1.1 / 2020 SS Big/MSP/JN 4”.

 

 

Development of an innovative tool for automatic analysis of cardiac arrhythmias and conduction for pediatric patients (2021-2023).

 

Background

There are several tools for automatic ECG signal analysis in adults, but these solutions may not be reasonable/applicable for the ECG analyses in paediatric population neither in children with normal sinus rhythm nor with various kinds of heart rhythm disturbances. This is the result of age dependent distinct features of the circulatory system such as: strong correlation between morphology, signal amplitude, and the age as well as relevant respiratory sinus arrhythmia or sinus tachycardia.

Objective

To develop an innovative tool for automatic analysis of cardiac arrhythmias and conduction for pediatric patients.

Methods

The key challenge will be to build algorithms that will enable high-quality ECG signal analysis in children. The algorithms will be built using deep neural network architectures, such as ResNet, and will operate on filtered ECG signals. At the same time, the basic method to “train” the algorithm will be to use a database of signals from paediatric patients, which will be created in cooperation with researchers from MUW.

Results

The pioneering tool for quick and effective cardiological diagnostics of children will be helpful both in paediatric cardiology and general paediatrics or even in sport medicine. 

 

Coordinating Center: Medical University of Warsaw

Project value: PLN 5 363 925.00

Co-financing value: PLN 3,995,230.00

The implementation of the project is possible thanks to the support of the National Center for Research and Development.