Variation in Wearable Sensor Functional Metrics During Early Recovery of Knee Arthroplasty Patients

Description

This session discusses the use of remote monitoring technologies in orthopedic pain management, highlighting the effectiveness of wearable and implanted sensors in tracking patient recovery. The focus is on understanding functional performance metrics and how they change over time for patients after surgery, particularly those undergoing DKA (Diabetic Ketoacidosis) treatment.



The data was gathered from a small sample of 89 patients monitored over 12 weeks with a motion sensor system. Key metrics assessed include active time, range of motion, gait cadence, and daily step counts, showing a pattern of initial decline post-surgery followed by gradual recovery.



Survival analysis was employed to model the probability of patients returning to preoperative functional levels, taking into account demographic and preoperative factors. Results indicate that patients with lower pre-op functionality tend to have a higher likelihood of exceeding their previous performance levels. The findings emphasize the variability in recovery experiences among patients and suggest the need for personalized recovery curves to better set expectations and goals for individual patients, rather than relying on a generalized population average.

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