Patents by Inventor Xiangyi Liu

Xiangyi Liu 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).

  • Publication number: 20240181516
    Abstract: Disclosed are an attractive electromagnetic flanging method using a stepped magnetic field shaper for a small metal pipe fitting, and a device. The problems that an existing electromagnetic flanging method uses a dual-coil and dual-power system, is complicated in control and coordination, and cumbersome in assembly configuration, and a forming effect of using a single coil system is poor are solved. The superior performance of a magnetic field in a specific area can be strengthened during flanging forming through the special stepped magnetic field shaper, such that an effect of replacing provision of an axial background magnetic field coil is achieved. The method solves the problem of insufficient radial electromagnetic force in the single coil system, and simplifies the problems of complicated control and coordination and cumbersome assembly configuration of the dual-coil system.
    Type: Application
    Filed: December 4, 2023
    Publication date: June 6, 2024
    Applicant: CHINA THREE GORGES UNIVERSITY
    Inventors: Qi XIONG, Nuo YAN, Shengfei LI, Xiang ZHAO, Yanxin LI, Xiangyi LIU, Shuang QIU, Fandi SHU, Yuan CHEN
  • Publication number: 20230080908
    Abstract: Disclosed herein are methods for determining resection depths for a knee arthroplasty procedure. The method may comprise the steps of determining a joint translation threshold, determining a joint translation of the femur with respect to the tibia during a joint gap measurement, setting a final joint gap measurement and determining knee resection depths based on the final joint gap measurement. The joint translation threshold may be defined as a translation distance of a femur with respect to a tibia. The joint translation may be less than or equal to the joint translation threshold.
    Type: Application
    Filed: September 9, 2022
    Publication date: March 16, 2023
    Inventors: Azhar Ali, Emily Hampp, Xiangyi Liu, Ormonde Mahoney
  • Publication number: 20220387187
    Abstract: In one embodiment, a method of planning implantation of a knee prosthesis is performed. Data is collected that is representative of a position of a tibia relative to a femur at a plurality of positions of the tibia relative to the femur through a range of motion of the knee. The data at each position of the plurality of positions includes: a medial maximum convergence of a low point on a medial femoral condyle and a medial tibial articular surface of the tibia and a lateral maximum convergence of a low point on a lateral femoral condyle and a lateral tibial articular surface of the tibia. The medial and lateral convergence locations from the plurality of positions are analyzed to determine a kinematic pattern that is then used to determine an implant position and an implant orientation for a tibial implant to be placed on a resected tibial surface.
    Type: Application
    Filed: June 7, 2022
    Publication date: December 8, 2022
    Applicants: Howmedica Osteonics Corp., Howmedica Osteonics Corp.
    Inventors: Xiangyi Liu, Azhar Ali, Jerry D'Alessio, Ronald Ehlert
  • Publication number: 20220031473
    Abstract: Disclosed herein is a balancer algorithm to perform joint balancing calculations to identify target solutions based on surgeon preference. The balancer algorithm can generate a suggested final implant plan from a predetermined range. The balancer algorithm can be used in a knee arthroplasty procedure to generate bone resection depths, bone gaps, implant angulations, required soft tissue release, etc. Input to the balancer algorithm can include preoperative data, intraoperative data, and surgeon preference data.
    Type: Application
    Filed: July 28, 2021
    Publication date: February 3, 2022
    Inventors: Matthew Carter, Matt Walker, Xiangyi Liu, Azhar Ali, Daniele De Massari, Thies Wuestemann, Sietske Witvoet, Emily Hampp, Jason Karl Otto, Kelly Dunn, Kevin Bechtold