Patents by Inventor Allen Song

Allen Song 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: 20230333541
    Abstract: A method includes receiving, by a mobile computing device from an electroencephalogram (EEG) monitoring headset, an incoming wireless communication signal including an EEG data stream. The method may further include processing, by an application running on the mobile computing device, the received EEG data stream to determine at least one actionable command for at least one peripheral device. The method may also include transmitting, by the mobile computing device to the at least one peripheral device, at least one outgoing wireless communication signal including the at least one determined actionable command.
    Type: Application
    Filed: June 16, 2023
    Publication date: October 19, 2023
    Applicant: Duke University
    Inventors: Allen Song, Chris Petty
  • Patent number: 11720081
    Abstract: A method includes receiving, by a mobile computing device from an electroencephalogram (EEG) monitoring headset, an incoming wireless communication signal including an EEG data stream. The method may further include processing, by an application running on the mobile computing device, the received EEG data stream to determine at least one actionable command for at least one peripheral device. The method may also include transmitting, by the mobile computing device to the at least one peripheral device, at least one outgoing wireless communication signal including the at least one determined actionable command.
    Type: Grant
    Filed: March 17, 2020
    Date of Patent: August 8, 2023
    Assignee: DUKE UNIVERSITY
    Inventors: Allen Song, Chris Petty
  • Publication number: 20210361716
    Abstract: The present invention relates to methods of treating cerebral palsy and hypoxic-ischemic encephalopathy using cord blood tissue-derived mesenchymal stromal cells.
    Type: Application
    Filed: April 4, 2019
    Publication date: November 25, 2021
    Applicant: DUKE UNIVERSITY
    Inventors: Joanne Kurtzberg, Jessica Sun, Allen Song, Charles Michael Cotten
  • Publication number: 20200301402
    Abstract: A method includes receiving, by a mobile computing device from an electroencephalogram (EEG) monitoring headset, an incoming wireless communication signal including an EEG data stream. The method may further include processing, by an application running on the mobile computing device, the received EEG data stream to determine at least one actionable command for at least one peripheral device. The method may also include transmitting, by the mobile computing device to the at least one peripheral device, at least one outgoing wireless communication signal including the at least one determined actionable command.
    Type: Application
    Filed: March 17, 2020
    Publication date: September 24, 2020
    Inventors: Allen Song, Chris Petty
  • Patent number: 10317499
    Abstract: Methods of processing MRI image data to reduce or eliminate motion-related artifacts in MRI images includes: electronically repeatedly acquiring sets of 2D or 3D k-space data of a target region of a subject using at least one MRI pulse sequence; electronically applying a bootstrapping procedure to produce a large number of images from the acquired k-space data; then electronically evaluating the images produced by the bootstrapping procedure; and electronically identifying an image with a minimal motion-related artifact level from the evaluation of the images produced by the bootstrapping procedure.
    Type: Grant
    Filed: March 25, 2014
    Date of Patent: June 11, 2019
    Assignee: Duke University
    Inventors: Nan-Kuei Chen, Mei-Lan Chu, Allen Song
  • Publication number: 20160003928
    Abstract: Methods of processing MRI image data to reduce or eliminate motion-related artifacts in MRI images includes: electronically repeatedly acquiring sets of 2D or 3D k-space data of a target region of a subject using at least one MRI pulse sequence; electronically applying a bootstrapping procedure to produce a large number of images from the acquired k-space data; then electronically evaluating the images produced by the bootstrapping procedure; and electronically identifying an image with a minimal motion-related artifact level from the evaluation of the images produced by the boot-strapping procedure.
    Type: Application
    Filed: March 25, 2014
    Publication date: January 7, 2016
    Inventors: Nan-Kuei Chen, Mei-Lan Chu, Allen Song