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.
Type:
Grant
Filed:
July 22, 2021
Date of Patent:
January 31, 2023
Assignee:
HEART INPUT OUTPUT, INC.
Inventors:
Utkars Jain, Adam A. Butchy, Michael T. Leasure