In order to help patients with periarthritis of shoulder to carry out physical rehabilitation train more scientifically, we design and implement a set of wearable scapulohumeral periarthritis physics treatment monitoring system. The wrist band use low pass filter, sliding filter, quaternion method and complementary filtering algorithm to accomplish realtime preprocessing, data fusion, attitude calculation and attitude angle correction; The APP acquire data through BLE4.0, and use a customdesigned algorithm to monitor and analysis posture information. And then use the results to correct and evaluate the patients’ training attitude in realtime or offline mode. After testing, this system achieve the goal of monitoring and evaluating of the physical treatment of periarthritis of shoulder, and is able to provide scientific guidance for training.