Patents by Inventor Ken Poppleton

Ken Poppleton has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for predicting characteristics of an artificial heart using an artificial neural network
    Patent number: 9104977
    Abstract: A system configured to predict characteristics of an artificial heart is described. The system includes a processor and memory in electronic communication with the processor, and an artificial neural network configured to receive an input vector of a predetermined length to train the artificial neural network, produce an output vector based on the input vector, and compare the output vector with a target vector of the predetermined length. When the output vector does not match the target vector within a predetermined error rate, the network is configured to adjust at least one weight, and when the output vector matches the target vector within the predetermined error rate, the network is configured to execute the input vector to produce an estimate at least one characteristic of the artificial heart.
    Type: Grant
    Filed: September 9, 2014
    Date of Patent: August 11, 2015
    Assignee: World Heart Corporation
    Inventors: W. Kurt Dobson, Ken Poppleton
  • Systems and Methods for Predicting Characteristics of an Artificial Heart Using an Artificial Neural Network
    Publication number: 20150006453
    Abstract: A system configured to predict characteristics of an artificial heart is described. The system includes a processor and memory in electronic communication with the processor, and an artificial neural network configured to receive an input vector of a predetermined length to train the artificial neural network, produce an output vector based on the input vector, and compare the output vector with a target vector of the predetermined length. When the output vector does not match the target vector within a predetermined error rate, the network is configured to adjust at least one weight, and when the output vector matches the target vector within the predetermined error rate, the network is configured to execute the input vector to produce an estimate at least one characteristic of the artificial heart.
    Type: Application
    Filed: September 9, 2014
    Publication date: January 1, 2015
    Inventors: W. Kurt Dobson, Ken Poppleton
  • Systems and methods for predicting characteristics of an artificial heart using an artificial neural network
    Patent number: 8880450
    Abstract: A system configured to predict characteristics of an artificial heart is described. The system includes a processor and memory in electronic communication with the processor, and an artificial neural network configured to receive an input vector of a predetermined length to train the artificial neural network, produce an output vector based on the input vector, and compare the output vector with a target vector of the predetermined length. When the output vector does not match the target vector within a predetermined error rate, the network is configured to adjust at least one weight, and when the output vector matches the target vector within the predetermined error rate, the network is configured to execute the input vector to produce an estimate at least one characteristic of the artificial heart.
    Type: Grant
    Filed: May 26, 2011
    Date of Patent: November 4, 2014
    Assignee: World Heart Corporation
    Inventors: W. Kurt Dobson, Ken Poppleton
  • SYSTEMS AND METHODS FOR PREDICTING CHARACTERISTICS OF AN ARTIFICIAL HEART USING AN ARTIFICIAL NEURAL NETWORK
    Publication number: 20120303564
    Abstract: A system configured to predict characteristics of an artificial heart is described. The system includes a processor and memory in electronic communication with the processor, and an artificial neural network configured to receive an input vector of a predetermined length to train the artificial neural network, produce an output vector based on the input vector, and compare the output vector with a target vector of the predetermined length. When the output vector does not match the target vector within a predetermined error rate, the network is configured to adjust at least one weight, and when the output vector matches the target vector within the predetermined error rate, the network is configured to execute the input vector to produce an estimate at least one characteristic of the artificial heart.
    Type: Application
    Filed: May 26, 2011
    Publication date: November 29, 2012
    Applicant: World Heart Corporation
    Inventors: W. Kurt Dobson, Ken Poppleton