Study on atrial fibrillation prediction model based on convolutional neural network and CBAM attention mechanism
Objective To propose a model for early prevention and diagnosis of atrial fibrillation by using artificial intelli-gence technology.Methods A model based on convolutional neural network(CNN)and convolutional block attention module(CBAM)was proposed for the diagnosis and prediction of atrial fibrillation.Results The overall accuracy of the proposed model reached 94.2％in the case of total blindness based on the data from the long-term atrial fibrillation database,the MIT-BIH atrial fibrillation database and the MIT-BIH normal sinus rhythm database.Conclusion The proposed method satisfies the needs of medical ECG interpretation and provides a new idea for the prediction of atrial fibrillation.
万方数据
维普
