Tracking the progress of ICU patients by their movements with AI (2/7)

While it is a well established fact that movement in ICU patients can accelerate their healing and reduce muscle atrophy and delirium, keeping a track their movements at a scale was not possible this far. 

The exercise was limited to human monitoring by Nurse’s who were already burdened with high-pressure job of an IUE attendant.

Now with the help of depth sensors and the three-dimensional silhouette data which they generate 24 hours, putting a vision algorithm to work on it, the progress of patients can be monitored on large scale.

While accuracy of algorithm currently varies between 68 to 87%, it can be improved with installation of additional sensors.