Together with specialists of the Republican Scientific and Practical Center of Sports and the Research Institute of Physiology of the Academy of Sciences of the Republic of Belarus, the CardioX team developed methods for analyzing the cardiograms, identified the main pathologies and fundamental physiological condition parameters, calculated HRV rates, training impulses, etc.
Research and development process
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Based on the big data obtained jointly with colleagues from the RSPC “Cardiology”, the CardioX team developed AI for the estimation of blood pressure by ECG samples with coefficient of determination > 0,6 and an absolute error not exceeding 10 units for systolic and diastolic pressure indicators in 72% and 92% of cases, respectively.
At the moment, the CardioX team is working on making blood pressure indicators more accurate, using AI, photoplethysmogram and ECG obtained from CardioX devices synchronously.
CardioX has developed an API to integrate external ECG data sources with the CardioX mathematical core to provide ECG analysis results to partners.
Using this API, our team has developed the CardioX mobile app, which allows to analyze ECG (including Apple watch, Samsung Galaxy), receive and send an assessment of blood pressure, sympathetic and parasympathetic nervous system activity and HRV in the form of a pdf report.
Now the CardioX team is working in a number of areas, including the development of a device in the form factor of bracelets for both hands, as well as a mobile app for the rapid evaluation of ECG photos.
