Use cases in machine learning for time series

Critically ill patients who are unable to breathe (sufficiently) on their own receive respiratory support using a mechanical ventilation system. During the weaning process, the spontaneous breathing effort of the patient is required. It is essential that the ventilator support is synchronized (in time) with the patient’s spontaneous breaths. A mismatch in this timing is referred to as Patient-Ventilator Asynchrony (PVA). To improve the patient’s comfort and recovery this PVA must be prevented. A key step in this process is the detection and classification of PVA. Read more

Share This Story, Choose Your Platform!

Share on facebook
Facebook
Share on twitter
Twitter
Share on linkedin
LinkedIn

Bedrijven

Producten & werkwijze

Membership

Jobs