HRV analytics solutions with heart rhythm dynamics and autonomic balance.

Tech point


Automatic denoising and HRV extractions with health norm comparisons

Machine learning-based HRV parameter extractions and norm comparisons with age and sex classified database. Heart health report with percentile values and two-dimensional chart with healthy zones.

HRV parameter-based machine learning model for emotion monitoring

3 stages (healthy, preclinical, clinical) classifier model with an 83% and 81% accuracy for depression and anxiety.

Stress stage analysis with GAS phase model

Predict the stress level based on the trend of heart rate variability according to the five stages model that the human body goes through to defend itself during a stressful situation. Model accuracy is about 83%.