Dataset Supporting an Interpretable, Data-Driven, Hierarchical Multi-Domain Fusion Framework for Classification and Motor Function Scoring in Chronic Ankle Instability

This dataset contains the input features used to train and evaluate classification models for chronic ankle instability (CAI) and to generate individualized motor function scores. The features are derived from spatial-domain and temporal-domain representations of muscle synergies, as well as complexity features of muscle coordination patterns. This dataset supports the development of interpretable and personalized assessment models for motor function, and can facilitate individualized rehabilitation and sports health management in CAI patients.

本数据集包含用于训练和评估慢性踝关节不稳（Chronic Ankle Instability，CAI）分类模型，以及生成个体化运动功能评分的输入特征。该数据集的特征源自肌肉协同的空间域与时间域表征，以及肌肉协调模式的复杂度特征。本数据集可支撑运动功能可解释性与个性化评估模型的研发，同时可助力CAI患者开展个体化康复及运动健康管理工作。