Lightweight mental load assessment method based on multi-modal physiological parameters

The invention relates to a brain load assessment method based on multi-modal physiological parameters, and aims to realize light weight and high accuracy of the brain load assessment method. The method comprises the following steps: S1, constructing a load test to perform multi-modal data acquisition; s2, adding noise to the data, preprocessing the data, extracting features and constructing a data set; s3, constructing a plurality of classification models; s4, constructing an integrated model based on a hand raising voting method; and S5, classifying the electroencephalogram and electrocardio data of the subject by using the integrated model. According to the method, single-lead electroencephalogram and electrocardio data of a subject in a subtraction calculation task are collected and processed, features are extracted after noise is added to the data, a plurality of classification models are constructed, and model integration is conducted through hand-raising voting. The result shows that the classification