Real-time processing and intelligent analysis of biomechanical data based on 5G and artificial intelligence

5G and artificial intelligence (AI) technologies for the real-time processing and intelligent analysis of biomechanical data. We collected comprehensive biomechanical data from 500 participants, aged 18 to 65 years, through clinical trials encompassing gait analysis, muscle strength assessment, and joint mobility evaluation. High-resolution motion capture systems and wearable sensors transmitted this data in real-time via 5G networks to a centralized processing unit. The data underwent rigorous preprocessing, including normalization, smoothing, and feature extraction, followed by real-time analysis using deep learning models and support vector machines (SVM). The system’s performance was assessed based on throughput, latency, packet loss, and classification metrics such as accuracy, precision, recall, and F1-score. Our results demonstrate high throughput (5000 Mbps), low latency (1 ms), minimal packet loss (0.5%), and classification accuracies ranging from 91.8% to 94.0%. These outcomes validate the efficacy of our proposed framework in enhancing the accuracy and efficiency of biomechanical data analysis, highlighting the synergistic potential of 5G and AI in healthcare and sports science applications.