公开(公告)号：US12040093B2

公开(公告)日：2024-07-16

申请号：US18160613

申请日：2023-01-27

Applicant: Heart Input Output, Inc.

Inventor： Utkars Jain ,  Adam A. Butchy ,  Michael T. Leasure

IPC: G16H50/20 ,  G06N3/04 ,  G06N3/088 ,  G16H40/63

CPC classification number: G16H50/20 ,  G06N3/04 ,  G06N3/088 ,  G16H40/63

Abstract: A diagnostic tool includes a sensor for capturing at least one biosignal produced by a patient's heart and a computer device that implements a neural network iteratively trained via machine learning to generate a prediction about a heart condition of the patient. After the neural network is trained, the computer device can convert the at least one biosignal to a multi-dimensional input matrix for the deep neural network generated from a number (N) of biosignals captured by the sensor. The computer device then processes the multi-dimensional input matrix through the deep neural network, which subsequently outputs the prediction about the heart condition of the patient.

公开(公告)号：US11568991B1

公开(公告)日：2023-01-31

申请号：US17382909

申请日：2021-07-22

Applicant: Heart Input Output, Inc.

Inventor： Utkars Jain ,  Adam A. Butchy ,  Michael T. Leasure

IPC: G16H50/20 ,  G16H40/63 ,  G06N3/04 ,  G06N3/08

Abstract: A diagnostic tool includes a sensor for capturing at least one biosignal produced by a patient's heart and a computer device that implements a neural network iteratively trained via machine learning to generate a prediction about a heart condition of the patient. After the neural network is trained, the computer device can convert the at least one biosignal to a multi-dimensional input matrix for the deep neural network generated from a number (N) of biosignals captured by the sensor. The computer device then processes the multi-dimensional input matrix through the deep neural network, which subsequently outputs the prediction about the heart condition of the patient.