To facilitate the early intelligent screening of pediatric genu valgum, this study develops a deep learning-based gait recognition model tailored for clinical application. The model is constructed upon a three-dimensional residual network architecture and incorporates a triplet attention module alongside a spatial hierarchical pooling module, jointly enhancing feature interaction across temporal, spatial, and channel dimensions. This design ensures an optimal balance between representational capacity and computational efficiency. Evaluated on a self-constructed dataset, the model achieves precision of 98.0%, 97.1%, and 96.5%, recall rates of 97.5%, 97.0%, and 95.0%, and F ₁-scores of 0.98, 0.97, and 0.96 on the training, validation, and test sets, respectively, demonstrating excellent recognition performance and strong generalization ability. Ablation experiments confirm the importance of the proposed model's core components in improving performance, and comparative experiments further highlight its significant advantages in recognition accuracy and robustness. Visualization experiments reveal that the model effectively focuses on key regions of gait images, with attention regions aligning closely with clinical anatomical landmarks, thereby enhancing the interpretability of the model's decision-making in clinical applications. In summary, the proposed model not only offers an efficient and reliable technical solution for early intelligent screening of genu valgum in children, but also provides a practical pathway for applying gait recognition technology in medical diagnosis.
Humans ; Gait ; Deep Learning ; Genu Valgum/physiopathology* ; Child ; Neural Networks, Computer ; Algorithms

BACKGROUND: The treatments of knee osteoarthritis are mainly to relieve the symptoms, and it is difficult to be cured. Exercise therapy is denominated as a designed and ruled plan of physical activities to get some specific treated goals and aimed at the recovery of normal musculoskeletal function and reduction of the pain caused by diseases or body injuries. The research of exercise therapy in prevention and treatment of knee osteoarthritis has different opinions. OBJECTIVE: To discuss the critical factors influencing exercise therapy in the prevention and treatment of knee osteoarthritis, and to provide reference for exercise therapy in preventing and treating knee osteoarthritis. METHODS: A computer-based retrieval of CNKI and PubMed databases was performed for the articles published before January 2019. The keywords were “exercise therapy, knee osteoarthritis, prevention and treatment” in Chinese and English, respectively. The articles concerning exercise therapy effect on knee osteoarthritis were included for analysis based on inclusion and exclusion criteria. RESULTS AND CONCLUSION: (1) Exercise therapy should be begun as early as possible, and at the early period, we should pay attention to the angle of knee joint injury, and increase the intensity gradually, such as from non-weight training to weight training. (2) The middle-low intensity exercise therapy is recommended, and over-training should be avoided, especially for those who have cartilage wear.