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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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公开(公告)号：US20240180471A1
公开(公告)日：2024-06-06
申请号：US18556517
申请日：2021-11-09
Applicant: VUNO Inc.
Inventor： Woong BAE , Yunwon TAE
CPC classification number: A61B5/327 , A61B5/346 , A61B5/7246 , A61B5/7278
Abstract: Disclosed is a bio-signal analysis method performed by computing device according to an embodiment of the present disclosure. The method may include: acquiring at least one lead-wise bio-signal from a plurality of leads: and deriving an analysis value by inputting the at least one acquired lead-wise bio-signal into a neural network model.
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公开(公告)号：US20240115184A1
公开(公告)日：2024-04-11
申请号：US18263102
申请日：2022-01-27
Applicant: VUNO Inc.
Inventor： Youngjae SONG , Woong BAE
CPC classification number: A61B5/327 , A61B5/364 , A61B5/7239 , A61B5/7275 , G06N20/00 , G16H50/30
Abstract: According to an embodiment of the present disclosure, disclosed is a method for predicting a chronic disease based on an ECG signal performed by a computing device. The method may include generating lead-specific integrated data based on the ECG signal. The method may include generating N-dimensional input data based on the lead-specific integrated data. The method may include predicting the chronic disease based on the N-dimensional input data. The method may include generating prediction information on the chronic disease to be provided to a user.
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4.发明申请公开(公告)号：US20210048941A1
公开(公告)日：2021-02-18
申请号：US16991713
申请日：2020-08-12
Applicant: VUNO, INC.
Inventor： Woong BAE , Seung Ho LEE
IPC: G06F3/0484 , G06T3/40 , G06F3/0489
Abstract: An image providing method performed by a computing apparatus includes acquiring a first image group including at least a portion of a series of images generated for continuous volumes with a first slice thickness belonging to a subject, providing, as a current viewing image, one image of the first image group or one image of a second image group including images generated for continuous volumes with a second slice thickness belonging to the subject, and in response to a first specific input of an input device, repeatedly updating an image provided as the current viewing image with an individual image provided for a subsequent viewing based on a directivity given for the first specific input and, in response to a second specific input of the input device, switching the current viewing image between an image of the first image group and an image of the second image group.
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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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Patent Agency Ranking
公开(公告)号：US20220084681A1
公开(公告)日：2022-03-17
申请号：US17474059
申请日：2021-09-14
Applicant: VUNO INC.
Inventor： Kyungjae CHO , Yunseob SHIN , Woong BAE
Abstract: A method of predicting a medical event based on a pre-trained artificial neural network by a computing apparatus, and an apparatus therefor are disclosed. The method includes receiving an electronic medical record vector including a plurality of vital sign components, and outputting the medical event corresponding to the electronic medical record vector using the acritical neural network. The artificial neural network is pre-trained based on learning data, and the learning data includes augmentation electronic medical record vectors which are reconstructed using original electronic medical record vectors pre-acquired at an earlier time point than a first time point based on a mask vector for losing at least one of the plurality of vital sign components of the first time point.
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公开(公告)号：US20220084679A1
公开(公告)日：2022-03-17
申请号：US17464685
申请日：2021-09-02
Applicant: VUNO INC.
Inventor： Byeongtak LEE , Youngjae SONG , Woong BAE , Oyeon KWON
Abstract: A deep neural network pre-training method for classifying electrocardiogram (ECG) data and a device for the same are disclosed. A method for training an ECG feature extraction model may include receiving a ECG signal, extracting one or more first features related to the ECG signal by inputting the ECG signal to a rule-based feature extractor or a neural network model, extracting at least one second feature corresponding to the at least one first feature by inputting the ECG signal to an encoder, and pre-training the ECG feature extraction model by inputting the at least one second feature into at least one of a regression function and a classification function to calculate at least one output value. The pre-training of the ECG feature extraction model may include training the encoder to minimize a loss function that is determined based on the at least one output value and the at least one first feature.
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公开(公告)号：US20220180194A1
公开(公告)日：2022-06-09
申请号：US17598289
申请日：2019-12-06
Applicant: VUNO INC.
Inventor： Woong BAE , Byeong-uk BAE , Minki CHUNG , Beomhee PARK
Abstract: The present disclosure relates to a method for improving reproduction performance of a deep neural network model trained using a group of learning data so that the deep neural network model can exhibit excellent reproduction performance even for target data having a quality pattern different from that of the group, and a device using same. According to the method of the present disclosure, a computing device acquires the target data, retrieves at least one piece of candidate data having a highest similarity to the target data from a learning data representative group including reference data selected from the learning data, performs adaptive pattern transformation on the target data to enable adaptation to the candidate data, and supports transfer of transformed data, which is a result of the adaptive pattern transformation, to the deep neural network model so as to acquire an output value from the deep neural network model.
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公开(公告)号：US20220076835A1
公开(公告)日：2022-03-10
申请号：US17466736
申请日：2021-09-03
Applicant: VUNO Inc.
Inventor： Byeong Tak LEE , Woong BAE , Oyeon KWON
Abstract: According to an embodiment of the present disclosure, disclosed is a computer program stored in a computer readable storage medium, in which when the computer program is executed on at least one processor, the computer program causes the processor to perform the following operations for judging a disease using a neural network, the operations including: acquiring one or more bio signals respectively measured in one or more leads; and generating result information about a disease by inputting the one or more bio signals into a disease judgment model.
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公开(公告)号：US20210407637A1
公开(公告)日：2021-12-30
申请号：US17356111
申请日：2021-06-23
Applicant: VUNO Inc.
Inventor： Beomhee PARK , Woong BAE , Minki CHUNG
Abstract: Disclosed is a computer program stored in a computer readable storage medium. When the computer program is executed by one or more processors, the computer program provides a user interface for displaying a lesion readings result, and the user interface may include: lesion information comprised in medical data; and one or more findings related to the lesion information and displayed in response to a user interaction with the lesion information.
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