Patents by Inventor Hongbo Xie

Hongbo Xie 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).

  • Mitochondrial Disease Genetic Diagnostics
    Publication number: 20200216903
    Abstract: Mitochondrial disease genetic diagnostics and methods of use thereof.
    Type: Application
    Filed: December 31, 2019
    Publication date: July 9, 2020
    Inventors: Marni J. Falk, Xiaowu Gai, Douglas C. Wallace, Hongbo Xie
  • Mitochondrial disease genetic diagnostics
    Patent number: 10519502
    Abstract: Mitochondrial disease genetic diagnostics and methods of use thereof are provided.
    Type: Grant
    Filed: October 31, 2014
    Date of Patent: December 31, 2019
    Assignee: THE CHILDREN'S HOSPITAL OF PHILADELPHIA
    Inventors: Marni J. Falk, Xiaowu Gai, Douglas C. Wallace, Hongbo Xie
  • Fuzzy entropy based noisy signal processing method and iterative singular spectrum analysis soft threshold de-noising method
    Patent number: 10361680
    Abstract: A fuzzy entropy based noisy signal processing method and an iterative singular spectrum analysis (SSA) soft threshold de-noising method are disclosed. The method employs FuzzyEn, which is used to quantify the system complexity in chaos theory, to characterize a noise floor, which provides a more effective path for processing of noisy signal; its fuzzy entropy spectrum based iterative singular spectrum analysis soft threshold (SSA-IST) de-noising method outperforms the conventional truncated singular spectrum, wavelet transform and empirical mode decomposition de-noising approaches in de-noising performance.
    Type: Grant
    Filed: June 2, 2017
    Date of Patent: July 23, 2019
    Assignee: Hwashen Electronics Co., Ltd.
    Inventor: Hongbo Xie
  • FUZZY ENTROPY BASED NOISY SIGNAL PROCESSING METHOD AND ITERATIVE SINGULAR SPECTRUM ANALYSIS SOFT THRESHOLD DE-NOISING METHOD
    Publication number: 20180138896
    Abstract: A fuzzy entropy based noisy signal processing method and an iterative singular spectrum analysis (SSA) soft threshold de-noising method are disclosed. The method employs FuzzyEn, which is used to quantify the system complexity in chaos theory, to characterize a noise floor, which provides a more effective path for processing of noisy signal; its fuzzy entropy spectrum based iterative singular spectrum analysis soft threshold (SSA-IST) de-noising method outperforms the conventional truncated singular spectrum, wavelet transform and empirical mode decomposition de-noising approaches in de-noising performance.
    Type: Application
    Filed: June 2, 2017
    Publication date: May 17, 2018
    Inventor: Hongbo Xie