Figure 5.

Example detailing the application of wearable sensor technology and machine learning algorithms employed in a Return-to-Play rehabilitation program following ACL reconstruction. (A) Wearable sensors collect continuous muscle oxygen saturation and heart rate data during a moderate-intensity quadriceps-focused exercise at a 12- weeks (T₁) post-ACL reconstruction conditioning assessment during an athlete's RTP rehabilitation program, (B) machine learning algorithms process data collected from wearable sensors and determine a clinical outcome “forecast” based on learned population data, (C) coaching staff and trainers can track the athlete's readiness to return to competition over time and compare to other athletes, focusing the decision on the basis of analytics rather than intuition or subjective assessments.