Your Movement Knows Before You Feel the Pain
summary
A hardware‑agnostic smartphone app passively collects gait and walking metrics from over 400 patients and shows objective decline up to five years before reported pain, with recovery often plateauing after surgery. The study cites ~30% possibly unnecessary progressions, 10–20% dissatisfied and 30–50% neutral after replacement, and uses machine learning to flag early risk and forecast pain, predict surgery satisfaction, and produce continuous passive gait metrics for optimizing surgery timing and rehab.
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chapters (10)
- 0:00Knee pain research focus
- 1:25Osteoarthritis and joint replacement
- 3:08Joint health monitoring
- 4:53Smartphone sensor data
- 6:40Sensor data reveals decline
- 8:24ML detects osteoarthritis early
- 9:48AI for patient empowerment
- 11:13Early intervention benefits
- 12:18Hardware-agnostic approach
- 13:00Future steps and products
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