Cardiovascular diseases are the most common cause of death, especially in developed countries. According to the current statistical trends, it is expected that, along with economic development, also in developing countries infectious diseases will be a lesser threat, and non-communicable diseases, including heart diseases, will become the main health problem. Therefore, diagnostics of cardiovascular diseases is becoming an increasingly important and increasingly urgent task of medicine. The scale of significance of the problem is illustrated by data on the causes of deaths in Poland in 2016 – cardiovascular diseases were the direct cause of 179 889 (48%) deaths, which exceeds the combined number of deaths due to next seven major causes (cancer, dementia, endocrine diseases, respiratory disease, lower respiratory infections, digestive diseases and liver diseases) [based on data of the Institute for Health Metrics and Evaluation: https://ourworldindata.org/causes-of-death].
Electrocardiography is one of the basic diagnostic tools – in Europe alone, the ECG test is carried out around three hundred million, and in Poland about six million times a year. Considering the fact that the interpretation of the ECG result is prepared by a physician, and the number of cardiologists decreases in relation to the size of the population, there is a risk for patients and a significant problem to be solved.
The main goal of the Cardiomatics team is to create an innovative, cloud-based system using machine learning algorithms for automatic analysis and interpretation of an ECG signal. The Cardiomatics solution will provide access to reliable ECG analysis at any time, from anywhere. The effectiveness of the system is comparable to the effectiveness of specialists, and in the future has the chance to exceed it.
The Cardiomatics system exchanges data with devices via API or website, supporting many data formats: WFDB, SCP-ECG, EDF / EDF +, ISHNE, CSV. It is able to detect over twenty types of hearteat abnormalities. Cardiomatics system analyzes both short records and data from 30+ days heart monitoring. The significant usefulness of the Cardiomatics system is particularly evident in the field of accurate analysis of long heart records, especially important in the diagnosis of some cardiac diseases – large volume of data is not a problem for artificial intelligence.