Detecting biomechanical impairment using wearable devices

A method comprising:

• at a first time:
• obtaining, with at least one processor, a first set of sensor data from sensors of a wearable device, a location of the wearable device and a timestamp;
• determining, with the at least on processor, a first set of fitness metrics based on the sensor data;
• predicting, with the at least one processor, a baseline health profile for a user of the wearable device based on the first set of fitness metrics;
• storing, with the at least one processor, the baseline health profile, the location and the timestamp;
• at a second time after the timestamp:
• detecting, with the at least one processor, that the wearable device is at the location;
• obtaining, with at least one processor, a second set of sensor data from the sensors of the wearable device;
• determining, with the at least on processor, a second set of fitness metrics based on the second set of sensor data;
• predicting, with the at least one processor, a current health profile for the user of the wearable device based on the second set of fitness metrics;
• comparing, with the at least one processor, the current health profile with the baseline health profile;
• and
• responsive to a result of the comparing, performing an action.