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公开(公告)号：US20230238133A1
公开(公告)日：2023-07-27
申请号：US17585358
申请日：2022-01-26
申请人： AliveCor, Inc.
发明人： Daniel Treiman , Joel Q. Xue
摘要： Embodiments of the present disclosure provide systems and methods for performing an ECG search based on a dual ECG and text embedding model. A text machine learning (ML) model may be trained to generate a text embedding based on a received text representation of an ECG diagnosis. The text ML model may be used to train an ECG encoding ML model to generate an ECG embedding based on received ECG leads data. A database may be populated with a plurality of ECG embeddings, each of the plurality of ECG embeddings generated based on ECG leads data of previously diagnosed ECGs. In response to receiving a query ECG, the ECG ML model may generate a query embedding and a similarity score between the query embedding and each of the plurality of ECG embeddings may be determined. The top K results may be sorted based on similarity score, and may be displayed/visualized.
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公开(公告)号：US20230190164A1
公开(公告)日：2023-06-22
申请号：US17553414
申请日：2021-12-16
申请人： AliveCor, Inc.
CPC分类号： A61B5/28 , A61B5/273 , A61B5/6824 , A61B5/6823 , A61B5/6828 , A61B5/259 , A61B5/254 , A61B5/256
摘要： Embodiments of the present disclosure provide an ECG monitoring device that comprises a housing cable comprising a plurality of signal cables positioned therein and a set of electrodes positioned along the housing cable. Each of the set of electrodes may contact a particular location of a user without requiring any muscular activity of the user when the ECG monitoring device is connected to the user. The ECG monitoring device may further comprise a computing device positioned along the housing cable and operatively coupled to each of the four or more electrodes via a respective signal cable of the plurality of signal cables. The computing device may comprise a memory and a processing device operatively coupled to the memory, the processing device to perform, using the four or more electrodes, an electrocardiogram (ECG) of the user.
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公开(公告)号：US20220304613A1
公开(公告)日：2022-09-29
申请号：US17465714
申请日：2021-09-02
申请人： AliveCor, Inc.
摘要： Embodiments of the present disclosure provide a small form factor ECG monitoring device that can acquire 3 standard ECG leads including a V-lead, does not require the use of adhesives for electrodes, and provides ECG data for a user on a near instantaneous basis. The ECG monitoring device can acquire leads I, II, and V2 (or any other V lead). The addition of a V-lead not only provides an additional channel of ECG data, but also adds another orthogonal cardiac field plane (the horizontal plane) thanks to the reference point formed by leads I and II. The ECG monitoring device may derive the augmented limb leads and subsequently generate a full 12-lead ECG. The ECG monitoring device may generate one or more diagnoses based on the full 12-lead set. The ECG monitoring device may provide an easy and non-invasive way for a person to take an ECG on the fly.
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公开(公告)号：USD1025372S1
公开(公告)日：2024-04-30
申请号：US29810499
申请日：2021-10-05
申请人： AliveCor, Inc.
摘要： FIG. 1 is a perspective view of a multi-electrode device showing our new design;
FIG. 2 is a bottom perspective view thereof;
FIG. 3 is a top perspective view thereof in a state of use; and,
FIG. 4 is a top perspective view thereof in a state of use.
The dashed lines in the drawings depict environmental subject matter and form no part of the claimed design.-
公开(公告)号：US20230326601A1
公开(公告)日：2023-10-12
申请号：US18132302
申请日：2023-04-07
申请人： AliveCor, Inc.
发明人： Joel Q. Xue , Daniel Treiman
CPC分类号： G16H50/20 , A61B5/346 , A61B5/7267 , G06N3/0464
摘要： Embodiments of the present disclosure utilize DNNs for ECG interpretation, where original ECG waveforms are directly ingested by the DNNs using paired interpretation labels for training, without the need for explicatory feature extraction or rule-based criteria.
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公开(公告)号：US20210169392A1
公开(公告)日：2021-06-10
申请号：US17116905
申请日：2020-12-09
申请人： AliveCor, Inc.
摘要： An apparatus includes an electrocardiograph device having first, second, and third, electrode assemblies with first, second, and third electrodes adapted to measure first, second, and third electrical signals of an individual, respectively. The apparatus further includes a processing device to: determine a Lead I from the first electrical signal and the second electrical signal; determine a Lead II from the second electrical signal and the third electrical signal; generate a Lead III using (Lead III=Lead II−Lead I); determine, using a machine learning model trained using measured twelve-lead ECG data, Leads aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 based on Lead I, Lead II, and Lead III; and provide Leads Lead I, Lead II, Lead III, aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 for display on a client device.
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