Cardio.AI – Certified Medical Software Device

1. Access to the cloud-based ECG analytical Cardio.AI™ Platform for cardiac analysis designed to be used by ECG technicians and cardiologists. 2. Comprehensive end-to-end solution for remote cardiac Holter service for clinics with single-use ECG biosensors.

Please submit a request through the website's feedback form, indicating specifically which services you need.

The ECG biosensor is FDA, CE Mark certified. Cardio.AI™ Platform: we have successfully obtained CE MDR certification, and we are now working toward FDA clearance, which we expect to achieve in 2026.

Wellness devices, e.g. AppleWatch, SmartWatches, ECG Cardiograph.

Bittium, Cortium, LifeSignals, Livetec, Philips, Biomedical Instruments (BI), BTL, ScottCare Holter, Amedtec.

We process ECG signals from any ECG device, but the quality of AI-pass somehow depends on the quality of the device's output. In some cases adding the data from the device to the training set is required, especially for devices with very specific noise. You need to export ECG data and send us a few examples from your device in the following formats: EDF, BDF, SCP, and ZHR to check for processing quality. Please ensure the channels have proper names (I, II, V5, AFR) — which the neural network requires to process the intra-ventricular blocks properly. Channel names could be approximate if those are modified leads. The supported channel names are I, II, III, AVL, AVR, AVF, V1, V2, V3, V4, V5, V6, ES, AS, and AI.

The Cardio.AI Platform supports files in the following types: EDF, BDF, SCP, and ZHR. To prepare EDFs, use libs like EDFlib or PyEDFlib (if you use Python).

Yes, it is possible. Send us the appropriate request through the feedback form on the site.

Cardiologists, cardiologist-technicians, medical staff.