Noninvasive mobility sensor is a novel and feasible method for automating evaluation of ICU patient mobility.

Three Microsoft Kinect sensors (Microsoft, Beijing, China) were deployed in one ICU room to collect continuous patient mobility data.

We developed software that automatically analyzes the sensor data to measure mobility and assign the highest level within a time period.

To characterize the highest mobility level, a validated 11-point mobility scale was collapsed into four categories: nothing in bed, in-bed activity, out-of-bed activity, and walking.

Of the 109 sensor segments, the noninvasive mobility sensor was developed using 26 of these from three ICU patients and validated on 83 remaining segments from five different patients.

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