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公开(公告)号:US20230352164A1
公开(公告)日:2023-11-02
申请号:US18218016
申请日:2023-07-04
Applicant: VUNO, INC. , HYEWON MEDICAL FOUNDATION
Inventor: Yeongnam LEE , Yeha LEE , Joonmyoung KWON
CPC classification number: G16H40/63 , G16H50/30 , G06N20/20 , G06N20/10 , G06N3/084 , G06F18/217 , G06F18/241
Abstract: The present invention relates to a method for generating a prediction result for predicting an occurrence of fatal symptoms of a subject in advance, a method for performing data classification by using data augmentation in mechanical learning for the same, and a computing device using the same. Particularly, the computing device according to the present invention acquires vital signs of the subject, converts the same into individuated data, generates analysis information from the individuated data on the basis of a machine learning model, generates a prediction result by referring to the analysis information, and provides the prediction result to an external entity.
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公开(公告)号:US20240252091A1
公开(公告)日:2024-08-01
申请号:US18632087
申请日:2024-04-10
Applicant: VUNO Inc.
Inventor: Oyeon KWON , Woong BAE , Yeha LEE
CPC classification number: A61B5/332 , A61B5/0006 , A61B5/28 , A61B5/7221
Abstract: Disclosed is a portable electrocardiogram measuring device for calculating one or more electrocardiogram leads according to an embodiment of the present disclosure. The device may include: a main measurement unit comprising a first electrode, a second electrode, and one or more processors; and a sub measurement unit comprising a third electrode, in which the one or more processors measure an electrocardiogram, by receiving electrical signals from at least two electrodes in a measurable state and by calculating different types of electrocardiogram leads based on the number of electrodes in the measurable state and an attachment position of electrodes.
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公开(公告)号:US20200176117A1
公开(公告)日:2020-06-04
申请号:US16638250
申请日:2018-08-07
Applicant: VUNO, INC. , HYEWON MEDICAL FOUNDATION
Inventor: Yeongnam LEE , Yeha LEE , Joonmyoung KWON
Abstract: The present invention relates to a method for generating a prediction. result for predicting an occurrence of fatal symptoms of a subject in advance, a method for performing data classification by using data augmentation in mechanical learning for the same, and a computing device using the same. Particularly, the computing device according to the present invention acquires vital signs of the subject, converts the same into individuated data, generates analysis information from the individuated data on the basis of a machine learning model, generates a prediction result by referring to the analysis information, and provides the prediction result to an external entity.
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公开(公告)号:US20210369172A1
公开(公告)日:2021-12-02
申请号:US17330102
申请日:2021-05-25
Applicant: VUNO Inc.
Inventor: Oyeon KWON , Woong BAE , Yeha LEE
Abstract: Disclosed is a portable electrocardiogram measuring device for calculating one or more electrocardiogram leads according to an embodiment of the present disclosure. The device may include: a main measurement unit comprising a first electrode, a second electrode, and one or more processors; and a sub measurement unit comprising a third electrode, in which the one or more processors measure an electrocardiogram, by receiving electrical signals from at least two electrodes in a measurable state and by calculating different types of electrocardiogram leads based on the number of electrodes in the measurable state and an attachment position of electrodes.
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