Patents by Inventor Joel R. Smith

Joel R. Smith 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).

  • Patent number: 11957893
    Abstract: A neuromodulation therapy is delivered via at least one electrode implanted subcutaneously and superficially to a fascia layer superficial to a nerve of a patient. In one example, an implantable medical device is deployed along a superficial surface of a deep fascia tissue layer superficial to a nerve of a patient. Electrical stimulation energy is delivered to the nerve through the deep fascia tissue layer via implantable medical device electrodes.
    Type: Grant
    Filed: August 25, 2020
    Date of Patent: April 16, 2024
    Assignee: Medtronic, Inc.
    Inventors: Brad C. Tischendorf, John E. Kast, Thomas P. Miltich, Gordon O. Munns, Randy S. Roles, Craig L. Schmidt, Joseph J. Viavattine, Christian S. Nielsen, Prabhakar A. Tamirisa, Anthony M. Chasensky, Markus W. Reiterer, Chris J. Paidosh, Reginald D. Robinson, Bernard Q. Li, Erik R. Scott, Phillip C. Falkner, Xuan K. Wei, Eric H. Bonde, David A. Dinsmoor, Duane L. Bourget, Forrest C M Pape, Gabriela C. Molnar, Joel A. Anderson, Michael J. Ebert, Richard T. Stone, Shawn C. Kelley, Stephen J. Roddy, Timothy J. Denison, Todd V. Smith
  • Patent number: 11957894
    Abstract: A neuromodulation therapy is delivered via at least one electrode implanted subcutaneously and superficially to a fascia layer superficial to a nerve of a patient. In one example, an implantable medical device is deployed along a superficial surface of a deep fascia tissue layer superficial to a nerve of a patient. Electrical stimulation energy is delivered to the nerve through the deep fascia tissue layer via implantable medical device electrodes.
    Type: Grant
    Filed: August 25, 2020
    Date of Patent: April 16, 2024
    Assignee: Medtronic, Inc.
    Inventors: Anthony M. Chasensky, Bernard Q. Li, Brad C. Tischendorf, Chris J. Paidosh, Christian S. Nielsen, Craig L. Schmidt, David A. Dinsmoor, Duane L. Bourget, Eric H. Bonde, Erik R. Scott, Forrest C M Pape, Gabriela C. Molnar, Gordon O. Munns, Joel A. Anderson, John E. Kast, Joseph J. Viavattine, Markus W. Reiterer, Michael J. Ebert, Phillip C. Falkner, Prabhakar A. Tamirisa, Randy S. Roles, Reginald D. Robinson, Richard T. Stone, Shawn C. Kelley, Stephen J. Roddy, Thomas P. Miltich, Timothy J. Denison, Todd V. Smith, Xuan K. Wei
  • Publication number: 20110145161
    Abstract: An automated employee selection system can use a variety of techniques to provide information for assisting in selection of employees. For example, pre-hire and post-hire information can be collected electronically and used to build an artificial-intelligence based model. The model can then be used to predict a desired job performance criterion (e.g., tenure, number of accidents, sales level, or the like) for new applicants. A wide variety of features can be supported, such as electronic reporting. Pre-hire information identified as ineffective can be removed from a collected pre-hire information. For example, ineffective questions can be identified and removed from a job application. New items can be added and their effectiveness tested. As a result, a system can exhibit adaptive learning and maintain or increase effectiveness even under changing conditions.
    Type: Application
    Filed: February 17, 2011
    Publication date: June 16, 2011
    Applicant: Kronos Talent Management Inc.
    Inventors: David J. Scarborough, Bjorn Chambless, Richard W. Becker, Thomas F. Check, Deme M. Clainos, Maxwell W. Eng, Joel R. Levy, Adam N. Mertz, George E. Paajanen, David R. Smith, Joel R. Smith