Intelligent implementation of muscle strain identification algorithm in Mi health exercise induced waist muscle strain

Due to the need for doctors to assist in making treatment strategies for the diagnosis results of B-ultrasound medical images, the diagnostic efficiency is relatively low. In order to improve the accuracy and efficiency of identifying lumbar muscle strain, based on the You Only Look Once version 3 algorithm, an intelligent recognition filtering algorithm combining sliding window and histogram of oriented gradient features is proposed to avoid misdiagnosis caused by artifact interference. The results show that the proposed algorithm has an accuracy of 95.2% and a recall rate of 94.7% when applied to hospital standard equipment. The proposed algorithm can effectively reduce the possibility of misdiagnosis and improve the reliability of clinical diagnosis. At the same time, this algorithm can effectively identify cases of lumbar muscle strain, reduce missed diagnosis, and ensure that patients can receive timely treatment. The proposed algorithm has an F 1 score of 94.9% for standard devices, 95.7% for high-resolution devices, and 93.4% for mobile ultrasound devices. This algorithm can maintain good recognition performance on different devices and has strong adaptability. This algorithm can be widely applied in the ultrasound diagnosis of lumbar muscle strains in hospitals, providing effective decision support for doctors and ensuring that patients can receive the necessary medical services in a timely manner. Meanwhile, it provides important support for precision medicine and personalized treatment in the medical field, which is expected to improve the health and life quality of patients.