Blood pressure prediction based on the heart rate measurements
- Regression Modelling
A solution to predict patient's blood pressure basing on previously measured and logged heart rate data.
Our developers have made evaluation of parameters of the model for predicting systolic and diastolic blood pressure based on the values of current pulse transit time and heart rate parameters.
Data gathering according to the measurement protocol provided by the customer was step #1.
Part of the data was selected to teach the model by least square method.
For the selected parameters we have calculated confidence intervals and residuals distribution. The resulting model successfully passed testing on a sample data set.
The final model was integrated into the application that is used to estimate the patient's stress level and the state of his cardiovascular system.
Model for restoring blurred and pixelated faces in a photo.
Workout helper app
Mobile app for the estimation of proper body positions during the workout.
Breathwork Android application
Training app to set a certain breath rhyme by following one of the smart metronomes. The app is connected with several medical devices connected via Bluetooth.