Ring-type Cardio Tracker,
To help continuous monitoring of Atrial Fibrillation which is difficult to detect
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.
MADE IN KOREA
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.
QUALITY OF SLEEP
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