An electrocardio parameter calculation method based on deep learning, which method belongs to the technical field of medical data. The method comprises the following steps: S1, constructing a data set; S2, pre-processing a label; S3, performing standardization and expansion on the data set; S4, training a model; and S5, verifying the model, which involves predicting, according to a second label, a wave band to which a point position belongs, and comparing a predicted wave band with a wave band of a first label, so as to calculate a corresponding Dice index. The technical problems to be solved by the present method are: the strong subjectivity, great variability and great influence of an acquisition environment of wave band division of electrocardio data in actual use, and the poor adaptability and a to-be-improved accuracy rate of a traditional method, etc., and provided is an electrocardio parameter calculation method based on deep learning.
ELECTROCARDIO PARAMETER CALCULATION METHOD BASED ON DEEP LEARNING