Fig. 1: The framework of Module 1 and Module 2.

A two-stage classifier structure was established. The first stage (module 1) was based on a decision tree classifier, and the skin conductance and angular distance were used as output features to perform a preliminary score. The second stage (module 2) combines module 1, patient record information, ABI, and LS to make predictions for the Wagner Grade based on ensemble learning.