首页>
外国专利>
METHOD FOR PREDICTING PAROXYSMAL ATRIAL FIBRILLATION IN NORMAL SINUS RHYTHM ELECTROCARDIOGRAM STATE BY USING DEEP LEARNING
METHOD FOR PREDICTING PAROXYSMAL ATRIAL FIBRILLATION IN NORMAL SINUS RHYTHM ELECTROCARDIOGRAM STATE BY USING DEEP LEARNING
展开▼
机译:用深度学习预测正常窦性心律心电图状态下阵发性心房颤动的方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
Disclosed is a method for predicting paroxysmal atrial fibrillation in a normal sinus rhythm electrocardiogram state by using deep learning. A method for predicting paroxysmal atrial fibrillation according to an embodiment may include: a step for performing pre-processing in which electrical biosignals are converted into input data based on a diagnostic model; a step for training a diagnostic model, configured for the prediction of paroxysmal atrial fibrillation, with the pre-processed input data; and a step for evaluating the potential probability of paroxysmal atrial fibrillation in cases that include a group potentially classified as PAF (PAF normal cases) and a real normal group (Real normal cases), by using the training results learned through the diagnostic model.
展开▼