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:
Application
Filed:
January 27, 2023
Publication date:
June 1, 2023
Applicant:
128 North Craig Street
Inventors:
Utkars JAIN, Adam A. BUTCHY, Michael T. LEASURE