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公开(公告)号:US20230036193A1
公开(公告)日:2023-02-02
申请号:US17757671
申请日:2020-12-15
Applicant: Huawei Technologies Co., Ltd.
Inventor: Luping Li , Maolin Chen , Yujia Han , Miao Jia , Guangming Guo
Abstract: A method includes: obtaining an electrocardiosignal of a target user; importing the electrocardiosignal into a preset atrial fibrillation signal classification model, to obtain a signal type, of the electrocardiosignal, output by the atrial fibrillation signal classification model, where the atrial fibrillation signal classification model is obtained through training with an atrial fibrillation patient being a model training sample; and calculating, based on the signal type of the electrocardiosignal, a risk level of an atrial fibrillation occurrence, to predict whether the target user is to have an atrial fibrillation attack.