Patents by Inventor Md Sirajus Salekin

Md Sirajus Salekin 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: 11992331
    Abstract: A Neonatal CNN (N-CNN) is provided for detecting neonatal pain emotion based upon facial recognition. A cascaded N-CNN is trained using a Neonatal Pain Assessment Database (NPAD) to automatically identify a neonatal patient experience pain in real-time. These results show that the automatic recognition of neonatal pain provided by the embodiments of the present invention is a viable and more efficient alternative to the current standard of pain assessment.
    Type: Grant
    Filed: October 19, 2020
    Date of Patent: May 28, 2024
    Assignee: University of South Florida
    Inventors: Ghadh Alzamzmi, Dmitry Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun, Rahul Paul, Md Sirajus Salekin
  • Publication number: 20230309915
    Abstract: A computer-based system and method for generating a pain score of a subject using one or more sensory signals extracted from an AV signal of the subject. The AV signal may comprise one or more sensory signals including a face sensory signal, a body sensory signal and an audio sensory and wherein one or more of the sensory signals is missing from the AV signal.
    Type: Application
    Filed: April 17, 2023
    Publication date: October 5, 2023
    Inventors: Md Sirajus Salekin, Ghadh Alzamzmi, Dmitry Goldgof, Yu Sun, Thao Ho, Peter Randolph Mouton
  • Patent number: 11631280
    Abstract: A computer-based system and method for generating a current pain assessment of a neonate using facial expressions along with crying sounds, body movement, and vital signs changes and for using the current pain objective assessment to predict future pain objective assessment and assign a future pain probability score by incorporation spatiotemporal data into the multimodal assessment.
    Type: Grant
    Filed: November 9, 2020
    Date of Patent: April 18, 2023
    Assignee: University of South Florida
    Inventors: Peter Randolph Mouton, Sammie Lee Elkins, Md Sirajus Salekin, Dmitry Goldgof, Yu Sun, Thao Ho, Ghadh Alzamzmi
  • Publication number: 20210052215
    Abstract: A computer-based system and method for generating a current pain assessment of a neonate using facial expressions along with crying sounds, body movement, and vital signs changes and for using the current pain objective assessment to predict future pain objective assessment and assign a future pain probability score by incorporation spatiotemporal data into the multimodal assessment.
    Type: Application
    Filed: November 9, 2020
    Publication date: February 25, 2021
    Inventors: Peter Randolph Mouton, Sammie Lee Elkins, Md Sirajus Salekin, Dmitry Goldgof, Yu Sun, Thao Ho, Ghadh Alzamzmi
  • Publication number: 20210030354
    Abstract: A Neonatal CNN (N-CNN) is provided for detecting neonatal pain emotion based upon facial recognition. A cascaded N-CNN is trained using a Neonatal Pain Assessment Database (NPAD) to automatically identify a neonatal patient experience pain in real-time. These results show that the automatic recognition of neonatal pain provided by the embodiments of the present invention is a viable and more efficient alternative to the current standard of pain assessment.
    Type: Application
    Filed: October 19, 2020
    Publication date: February 4, 2021
    Inventors: Ghadh Alzamzmi, Dmitry Goldgof, Rangachar Kasturi, Terri Ashmeade, Yu Sun, Rahul Paul, Md Sirajus Salekin