mobiCARE

mobiCARE™ is the first ECG analysis service in Korea based on subscription. It provides a medical environment that enables more tests and diagnoses by setting a new standard for arrhythmia detection technology.

The patch-type biosensor can monitor ECG for up to 9 days and provides specific data for accurate arrhythmia diagnoses.

350,000+

CUMULATIVE NUMBEROF TESTS

107,000,000,000+

CUMULATIVE ANALYZED HEARTBEATS

980+

NUMBER OF HOSPITALS USING

mobiCARE™ components

Wearable ECG patch

It can measure ECG signals for up to nine consecutive days.

Analysis program for professionals

It allows for a quick and convenient check of the ECG waveform analyzed by the deep learning algorithm.

ECG analysis report

AI and medical technologists analyze the ECG waveforms,
and an arrhythmia specialist reviews them to provide the
final report. 

Mobile app & ECG diary

Measured data can be uploaded via mobile phones or PCs, and the ECG
diary can be conveniently recorded through the app. 

AI algorithm of the mobiCARE™

The algorithm monitors biomarkers that provide accurate electrocardiogram analysis, detecting 14 types of arrhythmias, beat information, activity levels, and heart rate variability through AI algorithms.

Sufficient and validated ECG data

Secured anonymized data from over 80,000 patients

Obtained specific ECG data through clinical studies

Detects 14+ arrhythmias

Provides various ECG analysis functions such as HRV calculation

Optimization of deep learning & machine learning algorithms

Establishes automatic data acquisition and learning pipelines

Ensures secure data management through a data security system

Manages the entire process from development to deployment of ML algorithms.

Outpatient Electrocardiogram Analysis Services

Provides analysis via wearable ECG patches and a clinically validated AI algorithmic reading program.

mobiCARE™ is specialized in detecting arrhythmia

mobiCARE™ provides a simple and accurate arrhythmia-detecting service through a clinically validated wearable ECG patch and analysis system, helping to prevent acute heart diseases such as strokes.

Demonstrated clinical validation of mobiCARE™ solutions

Detection of Morphological Characteristics of Atrial Fibrillation Using Semantic Segmentation

Ensemble Learning Method for In-Hospital Cardiac Arrest Prediction

Evaluation of the Diagnostic Performance and Efficacy of Wearable Electrocardiogram…

Comparison of adhesive single-lead ECG device and Holter test for atrial fibrillation monitoring