HEART RATE MONITORING

CART's accuracy of heart rate is over 98%. This is very close to the Gold Standard.

As a ring-type device, CART is designed for comfortable use and optimized for continuous and accurate heart rate monitoring.

ATRIAL FIBRILLATION DETECTION 

CART's accuracy of atrial fibrillation detection is more than 98% compared with the diagnosis result by cardiologists (medical doctors). This has been validated with an accredited clinical trial, and a paper based on the clinical trial has been published in a prominent international medical journal.

CART's proprietary deep learning AI algorithm accurately detects atrial fibrillation and normal sinus rhythm.

Deep Learning Approaches to Detect Atrial

Fibrillation Using Photolethysmographic

Signals :

Algorithms Development Study.

[Source :              ]

June 6th 2019

This study shows that wearable devices have the possibility to monitor Atrial Fibrillation by using PPG signals and adopting New Deep Learning classifiers(DL).
proprietary algorithms could detect AF using PPG signals even with frequent PACs and could outperform previously developed AF detectors. Even though diagnostic performance decreased as the burden of PACs increased, performance improved when samples from more patients were trained. Moreover, the reliability of the diagnosis could be indicated by the CL.