METHOD FOR PROCESSING MEDICAL DATA, APPARATUS, AND STORAGE MEDIUM

    公开(公告)号:US20240170161A1

    公开(公告)日:2024-05-23

    申请号:US18282018

    申请日:2023-01-04

    CPC classification number: G16H50/70 G06F18/25 G06F40/30 G16H50/20 G16H50/30

    Abstract: A method for processing medical data, an apparatus and a storage medium, the method includes: acquiring a case-history datum, and performing a target process to obtain a disease-analysis vector, wherein the target process includes: generating a case-history semantic vector of the case-history datum; for each of preset diseases in a preset-disease set, determining a first possibility weight of the case-history datum caused by the preset disease according to the case-history semantic vector, to obtain a first weight vector; according to case-history symptoms and case-history diseases in the case-history datum, determining from a predetermined knowledge graph a candidate disease that is capable of generating generate the case-history datum; determining a second possibility weight of the case-history datum caused by the candidate disease, to obtain a second weight vector; and fusing the first weight vector and the second weight vector, to obtain the disease-analysis vector corresponding to the case-history datum.

    KNOWLEDGE VERIFICATION METHOD, KNOWLEDGE VERIFICATION DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20190026638A1

    公开(公告)日:2019-01-24

    申请号:US15981216

    申请日:2018-05-16

    Abstract: A knowledge verification method, a knowledge verification device, and a storage medium. The knowledge verification method includes: obtaining target candidate knowledge and conflict candidate knowledge that contradicts with the target candidate knowledge; obtaining a target evidence group related to the target candidate knowledge and a conflict evidence group related to the conflict candidate knowledge; calculating a verification probability of the target candidate knowledge based on a logic rule of each evidence in the target evidence group and calculating a verification probability of the conflict candidate knowledge based on a logic rule of each evidence in the conflict evidence group; and comparing the verification probability of the target candidate knowledge with the verification probability of the conflict candidate knowledge and determining whether the target candidate knowledge is correct knowledge or not according to a comparison result.

    Smart display apparatus and smart display method

    公开(公告)号:US11367128B2

    公开(公告)日:2022-06-21

    申请号:US16605877

    申请日:2019-02-28

    Abstract: A smart display apparatus and a smart display method are provided. The smart display apparatus includes: a transparent display screen; a commodity position acquiring module configured to acquire position information of a plurality of commodities; and a control processing unit including a commodity determining unit and a control display unit; the commodity determining unit is configured to determine a recommended commodity; and the control display unit is configured to control the transparent display screen to display a first image of the recommended commodity, and configured to control the transparent display screen to display a commodity recommending mark according to the position information of the recommended commodity so as to indicate a customer to observe the recommended commodity through the transparent display screen.

    Method and system for recognizing crackles

    公开(公告)号:US11660062B2

    公开(公告)日:2023-05-30

    申请号:US16081880

    申请日:2017-12-15

    CPC classification number: A61B7/003 A61B7/04 G16H50/20

    Abstract: The present disclosure provides a method for recognizing crackles, including: processing collected lung sound signal to extract moist rale component for a respiratory cycle; calculating a power spectrum of the moist rale component, and, calculating at least one of a ratio of power of each preset frequency band to total power of all preset frequency bands and the total power of all the preset frequency bands as a frequency domain parameter, and/or calculating at least one of a ratio of the number of occurrence of moist rale and a maximum amplitude of moist rale in the entire inspiratory phase as a time domain parameter; inputting the frequency domain parameter and/or the time domain parameter serving as a parameter feature into a classification model for recognition. The present disclosure further provides a system for recognizing crackles.

    Apparatus and method for determining a blood pressure of a subject

    公开(公告)号:US10925495B2

    公开(公告)日:2021-02-23

    申请号:US15766987

    申请日:2017-05-04

    Inventor: Xue Chen Guohe Wang

    Abstract: The present application discloses an apparatus for determining a blood pressure of a subject. The apparatus includes one or more sensors configured to measure a first physiological parameter of the subject; a memory; and one or more processors. The memory stores computer-executable instructions for controlling the one or more processors to decompose a first physiological signal corresponding to the first physiological parameter using an empirical mode decomposition algorithm into a sum of a plurality of intrinsic mode functions and a residual; identify one or more first intrinsic mode functions of the plurality of intrinsic mode functions that are associated with a noise signal, thereby obtaining one or more second intrinsic mode functions of the plurality of intrinsic mode functions that are different from the one or more first intrinsic mode functions; and calculate a denoised physiological signal by accumulating the one or more second intrinsic mode functions.

    METHOD AND SYSTEM FOR RECOGNIZING CRACKLES

    公开(公告)号:US20210007703A1

    公开(公告)日:2021-01-14

    申请号:US16081880

    申请日:2017-12-15

    Abstract: The present disclosure provides a method for recognizing crackles, including: processing collected lung sound signal to extract moist rale component for a respiratory cycle; calculating a power spectrum of the moist rale component, and according to the power spectrum, calculating at least one of a ratio of power of each preset frequency band in a plurality of preset frequency bands to total power of all preset frequency bands and the total power of all the preset frequency bands and selecting at least one of them as a frequency domain parameter, and/or calculating at least one of a ratio of the number of occurrence of moist rale in the late inspiratory phase to the total number of occurrence of moist rale in the entire inspiratory phase and a maximum amplitude of moist rale in the entire inspiratory phase and selecting at least one of them as a time domain parameter; inputting the frequency domain parameter and/or the time domain parameter serving as a parameter feature into a classification model for recognition. The present disclosure further provides a system for recognizing crackles. The method and the system can improve the accuracy for recognizing crackles.

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