Patents by Inventor Yexian Qin

Yexian Qin 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: 11963751
    Abstract: The present disclosure includes an electromagnetic field detection and monitoring system. The system includes a single-ended amplifier and an impedance matching circuit which matches the impedance caused by an air gap between tissue and an electrode. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions. The processing can include machine learning technique which decompose an EMF signal into EEG bands to perform feature extraction. The features can then be used to train a machine learning model to classify other EMF signals.
    Type: Grant
    Filed: November 5, 2020
    Date of Patent: April 23, 2024
    Assignee: LR TECHNOLOGIES, INC.
    Inventors: Eugene Yu-Jiun Ren, Yexian Qin, Chiehping Lai
  • Publication number: 20210275050
    Abstract: The present disclosure includes an electromagnetic field detection and monitoring system. The system includes a single-ended amplifier and an impedance matching circuit which matches the impedance caused by an air gap between tissue and an electrode. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions. The processing can include machine learning technique which decompose an EMF signal into EEG bands to perform feature extraction. The features can then be used to train a machine learning model to classify other EMF signals.
    Type: Application
    Filed: November 5, 2020
    Publication date: September 9, 2021
    Inventors: Eugene Yu-Jiun Ren, Yexian Qin, Chiehping Lai
  • Publication number: 20210068753
    Abstract: Acoustoelectric imaging (AEI) offers a novel, non-invasive method for monitoring current densities produced by a deep brain stimulator (DB S) or other medical device. By providing visual feedback of the electrical current patterns produced by the device, AEI may help guide placement of an implant during surgery, monitor device performance during routine checkups and over time, and perform accurate calibrations (in vivo or in situ).
    Type: Application
    Filed: September 7, 2018
    Publication date: March 11, 2021
    Inventors: Chet Preston, Yexian Qin, Charles Ingram, Alex Burton, Russell S. Witte
  • Publication number: 20210059535
    Abstract: A two-dimensional wideband ultrasound transducer array for three or four-dimensional (volume+time) non-invasively imaging/mapping of electrical current in, for example, the brain through the skull, or the heart. The probe also has unique capabilities for three-dimensional transcranial or transthoracic pulse echo ultrasound (tissue structure, motion, bone thickness) and doppler blood flow imaging. The handheld device interfaces with an ultrasound delivery system for applications to human brain or heart imaging, ultrasound neuromodulation, and therapy. The handheld ultrasound array enables three-dimensional steering of an ultrasound beam through the human skull or chest for ultrasound, doppler, and acoustoelectric imaging and related modalities to aid in the diagnosis and treatment of brain or heart disorders.
    Type: Application
    Filed: September 7, 2018
    Publication date: March 4, 2021
    Inventors: Russell S. Witte, Yexian Qin, Matthew O'Donnell, Zhen Xu, Charles Ingram
  • Patent number: 10856765
    Abstract: The present disclosure includes an electromagnetic field detection and monitoring system. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions.
    Type: Grant
    Filed: February 15, 2019
    Date of Patent: December 8, 2020
    Assignee: LR Technologies, Inc.
    Inventors: Eugene Yu-Jiun Ren, Yexian Qin, Chiehping Lai
  • Publication number: 20190307333
    Abstract: An acoustoelectric image-guided therapy system and method for applying acoustoelectric image-guided therapy are disclosed. Embodiments are directed to therapy systems and methods that utilize and are based on acoustoelectric imaging. The acoustoelectric imaging may be combined with focused therapies such as ultrasound, ablation, or hyperthermia for treatment of, for example, acute or chronic conduction abnormalities (e.g., neuropathy, arrhythmia, epilepsy, etc.). Current-density maps are obtained near the region of interest using acoustoelectric imaging techniques. Targeting of the region of interest is then identified for therapy based on the current-density maps. Treatment of the targeted region of interest is then employed while optionally monitoring bioelectric properties using real-time feedback from the acoustoelectric imaging. Imaging and therapy may be automatically co-registered. Standard electrophysiology (e.g., ENG, ECG, EEG, etc.
    Type: Application
    Filed: June 5, 2017
    Publication date: October 10, 2019
    Applicant: Arizona Board of Regents on Behalf of the University of Arizona
    Inventors: Russell WITTE, Charles M. INGRAM, Qian LI, Yexian QIN
  • Publication number: 20190175050
    Abstract: The present disclosure includes an electromagnetic field detection and monitoring system. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions.
    Type: Application
    Filed: February 15, 2019
    Publication date: June 13, 2019
    Inventors: Eugene Yu-Jiun Ren, Yexian Qin, Chiehping Lai
  • Patent number: 10206602
    Abstract: The present disclosure includes an electromagnetic field detection and monitoring system. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions.
    Type: Grant
    Filed: April 5, 2018
    Date of Patent: February 19, 2019
    Assignee: LR TECHNOLOGIES, INC.
    Inventors: Eugene Yu-Jiun Ren, Yexian Qin, Chiehping Lai
  • Publication number: 20180289279
    Abstract: The present disclosure includes an electromagnetic field detection and monitoring system. The system includes passive detection, active detection, and signal processing capabilities. At least one embodiment includes a body worn system with sensing, processing, communications, and data storage capabilities. The system provides wearable antennas to transfer the EMF energy in its electrical or magnetic forms into the sensor efficiently. A specially designed processing algorithm can process the collected data and generated the results for medical professionals to read and make decisions.
    Type: Application
    Filed: April 5, 2018
    Publication date: October 11, 2018
    Inventors: Eugene Yu-Jiun Ren, Yexian Qin, Chiehping Lai