MEDICAL DATA PROVIDING DEVICE, MEDICAL DATA PROVIDING METHOD AND COMPUTER PROGRAM

    公开(公告)号:US20230263451A1

    公开(公告)日:2023-08-24

    申请号:US17892771

    申请日:2022-08-22

    CPC classification number: A61B5/349 A61B5/0006

    Abstract: A medical data providing device includes a memory, a communication unit, and a processor. The processor is configured to read a biosignal stored in the memory, divide the biosignal at certain time intervals, convert a signal segment into the frequency, and determines whether the signal segment is an analysis necessary section or an analysis unnecessary section based on a frequency component of the signal segment. The processor is further configured to analyze the signal segment of the analysis necessary section to generate data including an analysis result, and transmits data including the analysis result to a certain device.

    ELECTROCARDIOGRAM DATA PROCESSING SERVER, METHOD FOR PROCESSING ANALYSIS TASKS FOR SIGNAL SECTIONS CORRESPONDING TO ANALYSIS CONDITION, AND COMPUTER PROGRAM

    公开(公告)号:US20230115898A1

    公开(公告)日:2023-04-13

    申请号:US17949758

    申请日:2022-09-21

    Abstract: A method of processing analysis tasks for signal sections corresponding to an analysis condition includes (i) generating output data that includes a plurality of pieces of label information regarding sections of electrocardiogram signal in conjunction with one another; (ii) based on the output data, displaying pre-stored past medical history information regarding the first target object on a separate region, by using the electrocardiogram signal and classification data regarding the electrocardiogram signal; (iii) transmitting the output data to a medical staff terminal; (iv) determining one or more sections of the electrocardiogram signal corresponding to all or a part of the analysis condition as a first section of interest to be analyzed; (v) calculating an expected analysis time for analyzing the first section of interest; (vi) transmitting information regarding the expected analysis time to the medical staff terminal; and (viii) generating an analysis request signal regarding the electrocardiogram signal.

    ELECTROCARDIOGRAM SIGNAL PROCESSING METHOD AND APPARATUS

    公开(公告)号:US20220361800A1

    公开(公告)日:2022-11-17

    申请号:US17724862

    申请日:2022-04-20

    Abstract: An electrocardiogram signal processing apparatus includes a controller and a communication unit transmitting an electrocardiogram signal. The controller is configured to (i) extract points satisfying a determined standard from the electrocardiogram signal and convert the extracted points into a two-dimensional graph expressed as frequencies for a plurality of class sections, (ii) generate a cumulative graph in which an order of the plurality of class sections is rearranged in an order of magnitude of the frequencies, and (iii) calculate a Gini index based on the cumulative graph and determine whether the electrocardiogram signal is an abnormal signal by using the Gini index.

    BIO-SIGNAL MEASURING APPARATUS FOR DETECTING SIGNAL PEAKS, METHOD OF DETECTING SIGNAL PEAKS IN ELECTROCARDIOGRAM, AND COMPUTER PROGRAM FOR PERFORMING METHODS

    公开(公告)号:US20220322992A1

    公开(公告)日:2022-10-13

    申请号:US17226680

    申请日:2021-04-09

    Abstract: A bio-signal measuring apparatus for detecting signal peaks includes a bio-signal sensing circuit configured to sense an electrocardiogram signal by using an electrode attached to the body. The bio-signal measuring apparatus further includes a first filtering unit, a second filtering unit, a candidate peak detector, a peak integrator, and a valid peak detector. The peak integrator is configured to define windows by time intervals and calculate, as average peak time values, average values of time values of the first candidate peaks and the second candidate peaks included in the windows. The valid peak detector is configured to calculate complexity values for time intervals including the average peak time values, determine a peak occurrence time value on the basis of the complexity value, and detect valid peaks in the electrocardiogram signal by using the peak occurrence time value.

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