Heartisans is a healthcare technology startup. We aimed to build a medical quality heart health wearable, aiming to save lives. Our goal is to tackle a medical emergency known as a sudden cardiac arrest. We aim to deliver an advance warning of a cardiac arrest, so that you can take preventive action.
Our algorithm is used to determine the chances of a cardiac arrest from the variability of your natural heart beat. We also want to provide a stress level monitoring technique, and correlate activity and sleep patterns with heart health.
Our machine learning algorithm analyses your heart rate data 24/7, predicting the occurrence of ventricular tachycardia (VT) and ventricular fibrillation (VF) , warning you 10 minutes before the episode occurs.
Early diagnosis of Congestive Heart Failure is crucial to increase the chances of survival. Obvious symptoms may not appear until serious symptoms have developed. Our technology is able to differentiate if you have developed CHF or developing CHF.
Our machine learning algorithm is known as the Artificial Neural Network, and is based upon the fundamental building blocks of the human brain. The ANN can predict the onset of VT/VF, as well as monitor general heart health and stress levels.