Patents by Inventor Wenbin Mao

Wenbin Mao 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: 12322510
    Abstract: A deep learning model can be used for the identification of active contraction properties of the myocardium using limited clinical methods. A method for identifying the active contraction properties can include inputting a plurality of clinical metrics into a deep learning model. The method can further include inputting a representation of a cardiac cycle through a pressure volume-loop into the deep learning model. The deep learning model can include a first process layer with a first intermediate output and a second process layer that receives the first intermediate output as a first intermediate input. The method can further include outputting one or more contraction properties of the myocardium.
    Type: Grant
    Filed: February 27, 2023
    Date of Patent: June 3, 2025
    Assignee: UNIVERSITY OF SOUTH FLORIDA
    Inventors: Igor Nobrega, Wenbin Mao
  • Publication number: 20230346055
    Abstract: A mask capable of blocking air flows between the mouth and nose, relates to the field of personal hygiene protective articles and includes a mask body. Left and right ends of the mask body are fixedly connected with ear ropes. A rear surface of the mask body is fixedly connected with a blocking sheet. A tightening rope penetrates transversely through an inner cavity of the mask body, and is arranged on an upper side of the blocking sheet. A nose bridge strip is fixedly connected in the inner cavity of the mask body. The mask can provide a blocking between the mouth and the nose through the blocking sheet and press tightly through the tightening rope to prevent peculiar smell emitted from the mouth from flowing into a nasal cavity when a user wears the mask, and thus comfort of the user wearing the mask can be improved.
    Type: Application
    Filed: June 9, 2022
    Publication date: November 2, 2023
    Inventor: Wenbin MAO
  • Publication number: 20230274837
    Abstract: A deep learning model can be used for the identification of active contraction properties of the myocardium using limited clinical methods. A method for identifying the active contraction properties can include inputting a plurality of clinical metrics into a deep learning model. The method can further include inputting a representation of a cardiac cycle through a pressure volume-loop into the deep learning model. The deep learning model can include a first process layer with a first intermediate output and a second process layer that receives the first intermediate output as a first intermediate input. The method can further include outputting one or more contraction properties of the myocardium.
    Type: Application
    Filed: February 27, 2023
    Publication date: August 31, 2023
    Inventors: Igor Nobrega, Wenbin Mao