Method and apparatus for performing feature classification on electrocardiogram data

Serkan Kiranyaz (Keksijä), Turker Ince (Keksijä), Moncef Gabbouj (Keksijä), Ridha Hamila (Keksijä)

    Tutkimustuotos: Patentti

    Abstrakti

    A method and apparatus may include receiving patient-specific data of a patient. The method can also include inputting the patient-specific data into an input layer of a 1D convolutional neural network. The method can also include inputting labels corresponding to the patient-specific data into an output layer of the 1D convolutional neural network. The method can also include training the 1D convolutional neural network with the inputted patient-specific data and labels. The 1D convolutional neural network is configured to detect abnormality within patient-specific data.
    AlkuperäiskieliEnglanti
    PatenttinumeroUS20180032689
    TilaJulkaistu - 2018
    OKM-julkaisutyyppiH1 Myönnetty patentti

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