Cardiox offers a unique solution that provides both a photo-plethysmogram and a cardiogram at the same time. By combining ECG results and cutting-edge math formulas it became possible to estimate blood pressure without a cuff. We have developed an API to integrate external ECG data sources with the CardioX mathematical core.
We have acquired hundreds of thousands of ECG records of both men and women, aged from 15 to 93 y.o. Along with ECG, the records contain a person’s Blood Pressure readings taken at the same time as ECG, as well as a number of individual metrics, such as gender, age, physical health, etc., and load it into our Neural Network.
The Neural Network analyzes a 10-second ECG interval, with the discrete frequency of 1000 counts/sec. Therefore, we have 10000 points for each ECG interval. Then it uses mathematical algorithms to measure blood pressure.
CardioX neural network is structured as an interconnected group of smaller neural networks, which estimate 2 parameters: systolic and diastolic blood pressure. In the table, you can see the accuracy of the BP estimates, based on the random test sampling of 15% of the total number of records.
The probability of the CardioX neural network to estimate systolic BP with <10 points deviation equals 72%, and for diastolic BP – 92%.