Edge AI · Medical devices
ECG, SpO2 and breathing analysed on the device's microcontroller. Patient data never leaves the device, and alerts don't wait for the network.
5-class AAMI classification (N, S, V, F, Q) in real time.
Desaturation alerts, even with no connection.
Respiratory rate and pattern from an IMU or chest band.
Performance depends on the dataset: we assess feasibility with you.
Same input, same output. Every time.
The binary runs only on the devices you register.
Every build is unique and marked, from training data to firmware.
Luviner supplies the compiled model. Device validation and certification remain the manufacturer's responsibility.
Labelled ECG, SpO2 or IMU data as CSV. Clinical datasets or your own recordings.
AutoML tries the engines and reports accuracy on a held-out test set.
Register the UIDs of your devices.
Link the compiled library into your firmware project.
Start on the free Explorer plan, or write to us for a feasibility assessment.
Start free → Talk to Sales