Scale-up your practice with automated ECG analysis
Cardiomatics is an AI-based ECG analysis technology in the cloud.
We analyse ECG signals from your Holters, ECG patches and other devices so you can make your clinical decision in minutes!
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Accurate technology
Cardiomatics is classified as a CE-marked medical device, harnessing algorithms that have analyzed more than 7 million hours of ECG recordings. The effectiveness of Cardiomatics algorithms has been validated in clinical trials.
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Fast ECG analysis
Cardiomatics reduces the time of ECG analysis by up to 80% and enables comprehensive diagnostics of more patients. It's faster than manual analysis and more economically efficient. Cardiomatics means rapid analysis and quicker diagnosis.
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Easy-to-use software
Cardiomatics offers an intuitive interface and easy-to-read ECG reports. Our solution is a truly device-independent for arrhythmia diagnostics, compatible with more than 40 common ECG recording devices models.
Benefit from the power of AI-based ECG interpretation in your practice
For clinics
Save precious medical time and improve patient satisfaction
For service providers
Grow your ECG service-line with existing resources
Trusted by cardiologists
Paweł Balsam, BA, MD, PhD, FESC
Central Teaching Hospital of the Warsaw University Clinical Center, PolandIn the field of cardiac electrophysiology, Cardiomatics facilitates and speeds up the diagnosis of arrythmia. As a certified medical device perfectly suited our needs.
Ulrich Ingold, MD
Kardiologie Interlaken-Unterseen, SwitzerlandIt used to be very time-consuming to analyse long-term recordings with our conventional Holter software. Using Cardiomatics, the interpretation is now fast and reliable.
Prof. Michael Kühne, MD
Head of Clinic Atrial Fibrillation, University Hospital Basel, SwitzerlandAfter uploading the raw signal of the ECG, we get access to a detailed report within a few hours. In a clinical routine, it can save a lot of time compared to the time-consuming analysis od recordings with conventional Holter software.
Prof. Christine Meyer-Zürn, MD
Cardiologist, University Hospital Basel, SwitzerlandIt was very challenging to measure the AF burden manually from a standard 7-day Holter ECG, especially with patients with multiple AF (Atrial Fibrillation) episodes and noisy recordings. The medical-grade system ensures high-quality and trusted outcomes based on accurate algorithms.
We care about data safety
Our solution is compliant with
We are certified by
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