Cardiomatics partners for tool to analyse ECG signals from paediatric patients


Cardiomatics and the Medical University of Warsaw, Warsaw, Poland are developing a tool for automatic assessment, analysis, and interpretation of electrocardiographic signals (ECG) from paediatric patients.

The Cardiomatics Junior Project is a direct response to the identified lack of ECG diagnostic solutions dedicated to children. There are several tools for automatic ECG signal analysis in adults, but these cannot be used in the diagnosis of heart disorders among children. This is the result of several characteristics that occur in young patients, such as a strong correlation between morphology, signal amplitude, and the age of the patient, as well as immeasurability of sinus rhythm, or high heart rate, Cardiomatics said in a press release.

“The use of adult ECG analysis tools in a child usually leads to incorrect interpretation of the automatic recording. Such incorrect automatic signal analysis means that it must be performed entirely manually by a human, which is a tedious and time-consuming process. For this reason, the risk of making a mistake, and in particular missing important electrocardiographic events, is greater than in the case of automatic analysis and may lead to a failure to recognize significant arrhythmias and cardiac conduction disorders, and thus failure to undertake pharmacological or interventional treatment in time,” says Bożena Werner, head of the Department of Pediatric Cardiology and General Pediatrics, DSK UCK, Medical University of Warsaw, Warsaw, Poland.

Cardiomatics Junior will allow cardiac arrhythmias in children to be assessed more effectively and minimise the time needed for cardiologists to evaluate data received from the Holter monitor due to the use of Cardiomatics’ algorithms, which are based on artificial intelligence.

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 Medical University of Warsaw.

“The creation of a reliable Cardiomatics’ system for automatic analysis of ECG recordings using the Holter method in children will not only improve the work of clinicians but also increase the availability and universality of this test, which is of great importance in the detection of rhythm and conduction disorders in paediatrics. Cardiomatics technology will also improve the recognition of these diseases, thanks to which it will be possible to undertake adequate therapy at an earlier stage. In some situations, it will even help to avoid life-threatening arrhythmic events, such as ventricular tachycardia or sudden cardiac arrest in the course of channelopathy,” says Radosław Pietrzak.


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