Patents by Inventor Carey Y. Zhang

Carey Y. Zhang 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).

  • MENSTRUAL CYCLE TRACKING AND PREDICTION
    Publication number: 20220387003
    Abstract: A mechanism for estimating windows for menstrual cycles and fertility. The mechanism tracks menstrual cycles based on accuracy of predictions as compared to user input logging the start and stop of a cycle; this user input and the accuracy of prior cycle predictions is used to improve and update future predictions. Thus, as the mechanism receives additional data, it refines its predicted fertility window and period. A user's heart rate may be used to estimate fertility windows, periods, and other portions of a menstrual cycle.
    Type: Application
    Filed: May 16, 2022
    Publication date: December 8, 2022
    Inventors: Shunan Zhang, Carey Y. Zhang, Jihyun Park, Vincent M. Chan, Roxanne B. Brittain, You Ren, Yikai Wang
  • MIXED VARIABLE DECODING FOR NEURAL PROSTHETICS
    Publication number: 20210100663
    Abstract: In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from a 4×4 mm patch of the posterial parietal cortex illustrated that a single neural recording array could decoded movements of a large extent of the body. Cognitive activity is functionally segregated between body parts.
    Type: Application
    Filed: December 14, 2020
    Publication date: April 8, 2021
    Applicant: California Institute of Technology
    Inventors: Carey Y. Zhang, Tyson Aflalo, Richard A. Andersen
  • MIXED VARIABLE DECODING FOR NEURAL PROSTHETICS
    Publication number: 20180177619
    Abstract: In an embodiment, the invention relates to neural prosthetic devices in which control signals are based on the cognitive activity of the prosthetic user. The control signals may be used to control an array of external devices, such as prosthetics, computer systems, and speech synthesizers. Data obtained from a 4×4 mm patch of the posterial parietal cortex illustrated that a single neural recording array could decoded movements of a large extent of the body. Cognitive activity is functionally segregated between body parts.
    Type: Application
    Filed: December 21, 2017
    Publication date: June 28, 2018
    Applicant: California Institute of Technology
    Inventors: Carey Y. Zhang, Tyson Aflalo, Richard A. Andersen