Ring-type Cardio Tracker,
To help continuous monitoring of Atrial Fibrillation which is difficult to detect
HEART RATE MONITORING
CART's heart rate measurement accuracy is over 98% when compared with ECG. This is very close to the accuracy of the Gold Standard. And The accuracy of CART is due to the use of a finger-ring which is close to the fingertip, and this is known to be the best for measuring heart rate.
ATRIAL FIBRILLATION DETECTION
CART's atrial fibrillation measurement accuracy is more than 90% based on the clinical data we have so far when compared with the diagnosis result of a cardiologist (Medical doctor). This high detection accuracy is achieved not by heart rate based, but by detecting changes between each heartbeat in the same way as it is used in clinical practice.
Our proprietary arrhythmia detection algorithm detects atrial fibrillation and normal sinus rhythm very accurately.
Detect AF by simply wearing CART on your finger It continuously monitors your cardiac signals without any user intervention
CART USES PPG SIGNAL TO DETECT ATRIAL FIBRILLATION
data processing & communication
CLINICAL STUDIES & PAPERS
Deep Learning Approaches to Detect Atrial
Fibrillation Using Photolethysmographic
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.
cardiac signals big data platform
and preventive monitoring
Big data analysis
to secure public health
Source of clinical trials
and precise medicine
Personalized insurance service
New product development
and clinical trials