# K200036: AI-ECG Tracker

- Pathway: 510(k) (Traditional)
- Applicant: Shenzhen Carewell Electronics Co., Ltd.
- Decided: Mar 20, 2020 after 72 days
- Product code: DPS (Electrocardiograph)
- Device class: 2
- Regulation: 21 CFR 870.2340
- Recalls of this device: none
- Data: FDA decisions to Oct 25, 2026; recalls to Oct 12, 2026

## Lineage
Longest line of descent: 4 generations back to K003621 (2000). 4 ancestors in all.
No later device cites it as a predicate yet.
0 of 5 devices in its family (counting itself) have a Class I recall.

## Predicates on the family tree (from the FDA summary)
- K062282: Monebo Automated Ecg Analysis and Interpretation Software Library, Version 3.0, Monebo Technologies, Inc. (2007) Summary page 4.

## Indications for use
The AI-ECG Tracker is intended to be used by qualified healthcare professionals in hospitals and healthcare facilities for the assessment of arrhythmias using ECG data acquired from adults (age 22 and older) without pacemakers. The product supports downloading and analyzing data recorded from electrodes with conductive paste/gel placed on standard location in compatible formats from any device used for the arrhythmia diagnostics such as Holter, event recorder, 12-lead ambulatory ECG devices when assessment of the rhythm is necessary. The AI-ECG Tracker provides ECG signal processing and analysis on a beat by beat basis, QRS detection, Supraventricular and Ventricular Ectopic Beat detection, QRS feature extraction, interval measurement, heart rate measurement, and rhythm analysis. The AI-ECG Tracker is not for use in life supporting or sustaining systems or ECG monitoring and Alarm devices. The AI-ECG Tracker interpretation results are not intended to be the sole means of diagnosis for any abnormal ECG. It is offered to physicians and clinicians on an advisory basis only in conjunction with the physician’s knowledge of ECG patterns, patient background, clinical history, symptoms, and other diagnostic information.

Source page: https://510kreport.com/device/K200036
Methodology: https://510kreport.com/methodology