Acrux

Deep Breath

Monitoring and decision support system for mechanical ventilation

Issues

Meanwhile in industrial production

Why not apply it in medicine?

How it works

AI for asynchronism detection

In addition to online monitoring, Acrux Deep Breath allows to detect asynchronisms using machine learning algorithms.

Identifying asynchronisms is a non-trivial task that requires highly qualified specialist.

Our algorithms allow us to detect a large number of asynchronisms automatically and collect statistics about them to improve treatment methods

Visualisation

Visualisation

All important data on one screen

Base screen shows all connected patients and screen of specific patients shows actual data from ventilator and calculated parameters

Screen with asynchronisms shows alerts and history of asynchronisms with possibility to review each PVA

Light/Night mode switcher

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Adaptive design

Base screen shows all connected patients and screen of specific patients shows actual data from ventilator and calculated parameters

Benefits

How to start?

  • A specialist visits the clinic and connects a transmitting device to each ventilator.
  • Next, you will receive a username and password to access the organization's office.

And that's it!

Connection takes no more than 5 working days!

Trial period for 30 days

Compatible with

Publications

Publications