Method and apparatus for performing feature classification on electrocardiogram data

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

    Research output: Patent

    Abstract

    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.
    Original languageEnglish
    Patent numberUS20180032689
    Publication statusPublished - 2018
    Publication typeH1 Granted patent

    Fingerprint

    Dive into the research topics of 'Method and apparatus for performing feature classification on electrocardiogram data'. Together they form a unique fingerprint.

    Cite this