Method for simulating and rebuilding ECG lead data based on neural network algorithm

Abstract

The embodiment of the invention relates to a method for simulating and rebuilding ECG lead data based on neural network algorithm, which comprises the following steps: obtaining ECG monitoring data ofthe monitored person; the ECG monitoring data comprises the lead data of at least one limb lead and the lead data of at least one chest lead; a multi-neural network regression prediction model is trained for the reconstruction of multi-lead ECG signals based on the neural network machine learning algorithm; the independent variable of the multi-neural network regression prediction model is the lead data of at least one limb lead and the lead data of at least one chest lead; the dependent variable is the lead data of the remaining unknown leads except at least one limb lead and at least one chest lead; the multi-neural network regression prediction model comprises a weight coefficient and a bias coefficient, and the weight coefficient and the bias coefficient are determined by the resultsof the training of the neural network machine learning algorithm; the lead data of the remaining unknown leads is predicted according to the weight coefficient and the bias coefficient obtained by thetraining.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence data analysis, in particular to a method for simulating and reconstructing electrocardiogram lead data based on a neural network algorithm. Background technique [0002] Machine learning (Machine Learning, ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines; it specializes in how computers simulate or realize human learning behaviors, In order to acquire new knowledge or skills, reorganize the existing knowledge structure to continuously improve its own performance; it is the core of artificial intelligence and the fundamental way to make computers intelligent, and its application pervades all fields of artificial intelligence. Use induction, synthesis rather than deduction. [0003] Artificial Neural Network (ANN), or Neural Network for short, is one of t...

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Problems solved by technology

However, the complexity of the ECG data itself makes there are differences between the reconstruction results and the actual measurement results. These error

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