Systems and methods for monitoring and treating diabetic foot ulcers

A computer-implemented method for gathering and processing sensor data to identify a risk of impacting or causing a skin injury, the computer-implemented method comprising:

• receiving, via a computer network, sensor feature data representing output of a user sensor worn on a limb of a user, the user sensor not coupled to an offloading device worn on the limb;
• generating, by one or more computer processors, activity classification model output data using the sensor feature data input into an activity classification model, the activity classification model output data representing likelihoods determined by the activity classification model that the sensor feature data corresponds to each of a plurality of different activity classifications,
• wherein the plurality of different activity classifications comprises:
• a first activity classification representing motion of the limb;
• and
• a second activity classification representing no motion of the limb with weight loading the limb;
• determining, by the one or more computer processors, an activity classification from the activity classification model output data associated with the risk of impacting or causing the skin injury on the limb;
• and
• transmitting, via the computer network, display data comprising the activity classification to a computing device and causing the computing device to present the display data.

A non-transitory computer readable medium having an application stored thereon for gathering and processing sensor data to identify a risk of impacting or causing a skin injury, the application, when executed by one or more computer processors, causing the one or more computer processors to:

• receive, via a computer network, sensor feature data representing output of a user sensor worn on a limb of a user, the user sensor not coupled to an offloading device worn on the limb;
• generate activity classification model output data using the sensor feature data input into an activity classification model, the activity classification model output data representing likelihoods determined by the activity classification model that the sensor feature data corresponds to each of a plurality of different activity classifications,
• wherein the plurality of different activity classifications comprises:
• a first activity classification representing motion of the limb;
• and
• a second activity classification representing no motion of the limb with weight loading the limb;
• determine an activity classification from the activity classification model output data associated with the risk of impacting or causing the skin injury on the limb;
• and
• transmit, via the computer network, display data comprising the activity classification to a computing device and cause the computing device to present the display data.