Launching Q1 2026

The future of
cardiac monitoring

Learn more
How we compare

What makes us unique

Features

Scan output

Scan time

Clinical standard

Easy to operate

AI Analysis

EPR integration

HeartEye’s ECG

12-Lead

30 seconds

Yes

Yes

Yes

Yes

Hospital ECG

12-Lead

5-10 minutes

Yes

No

No

Yes

Competitors

2-Lead

1 minute

No

Sometimes

No

No

Smart wearables

1-Lead

45 seconds

No

Yes

Yes

No

How we compare

What makes us unique

Swipe to compare

Features

Scan output

Scan time

Clinical standard

Easy to operate

AI Analysis

EPR integration

HeartEye ECG

12-Lead

30 seconds

Yes

Yes

Yes

Yes

Hospital ECG

12-Lead

5-10 minutes

Yes

No

No

Yes

Competitors

2-Lead

1 minute

No

Sometimes

No

No

Smart wearables

1-Lead

45 seconds

No

Yes

Yes

No

What we bring

A range of benefits

How it works

From device to app & dashboard

1. Download & install the app

After the download has been completed and installed, you can create an account.

2. Scan QR code on Hearteye’s ECG

Connect the HeartEye device through Bluethooth with the HeartEye app on your phone. We are now ready to scan.

3. Follow instructions & put the recorder on the chest of patient

During the scan, see instructions and progress in the HeartEye app. When the scan is done, immediately see the results in the app as well.

4. Directly save all results to the desktop dashboard

After gathering results, all results are saved in the HeartEye desktop dashboard. Here, you can view all results, share them with other health professionals and grant dashboard access to others.

Backed by patents and research

01

Patent received with patent nr. 2021115

02

Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks. Journal of the American Heart Association, 9(10), e015138. https://doi.org/10.1161/JAHA.119.015138

03

Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms. European Heart Journal – Digital Health, 1–41. https://doi.org/10.1093/ehjdh/ztab045

04

Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers. Circulation: Arrhythmia and Electrophysiology. https://doi.org/10.1161/CIRCEP.120.009056

“If my cardiologist can use the HeartEye
ECG for his analysis and treatment plan, I will be treated faster and more efficiently.”

Interested?

Get in touch

Any remaining questions? Feel free to reach out to us.


Frequently Asked Questions

With our device we can generate a full 12-lead ECG within 30 seconds.

The device needs to connect with Bluetooth to the HeartEye app. After scanning the ECG you can upload the scan to the portal where it can be shared with health care professionals.

This device was developed for healthcare professionals. Since it is pocket-sized and easy to operate, it can be employed in the doctor’s office, while doing rounds in the hospital, during house calls, etc. In the future it will be available for patient self-use as well.

ECGs are stored in a platform environment after the ECG recording to save the registration. Healthcare professionals can log in to this platform and view or comment on the ECG. It is possible to make an API integration with Electronic Patient Records.

Patients may be given this device to operate after a short instruction. The patient can upload registered ECGs to a platform for interpretation by a professional.

The battery can be used for recording 250 ECG measurements during 24 hours without the need for recharging the battery. The recorder can be in sleep/OFF mode for 2 weeks without the need to recharge the battery.

Sensitivity and specificity were tested in published clinical trials for coronary artery disease, conduction delay, and abnormal QRS voltages, ranging from 65-85%. The overall negative predictive value was >95%.

We expect to launch the device in Q1 2026. Feel free to reach out to use for remaining question or the latest updates.

Please reach out to us through joining the waitlist below.

This device produces a 12-lead ECG suitable for diagnosing heart disease comparable to the traditionally recorded ECGs.

Currently, the procedures for registration have been initiated and are expected to be completed in Q1 of 2026.