Infant cerebral palsy auxiliary diagnosis system based on fusion model

The invention discloses an infant cerebral palsy auxiliary diagnosis system based on a fusion model, and the system is characterized in that a data preprocessing module receives infant motion sequence data, and carries out the data processing through an interpolation method; the coordinate preprocessing module carries out median filtering and smoothing processing on the data after interpolation processing and carries out attitude normalization at the same time. And the feature extraction module calculates features of different joint and trunk motions from the preprocessed coordinate sequence, and then carries out splicing to obtain motion features. And the fusion model module inputs the motion features into a plurality of machine learning models for binary discrimination, combines the discrimination result with the motion features, and inputs the discrimination result into a meta-model to obtain a classification result. And the result visualization module visualizes the classification result and provides auxi