Patents by Inventor Vaclav KREMEN

Vaclav KREMEN 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: 11980473
    Abstract: This specification discloses systems, methods, devices, and other techniques for determining the location of a seizure-generating region of the brain of a mammal.
    Type: Grant
    Filed: May 25, 2018
    Date of Patent: May 14, 2024
    Assignees: Mayo Foundation for Medical Education and Research, The Board of Trustees of the University of Illinois and St. Anne's University Hospital Brno
    Inventors: Brent M. Berry, Gary C. Sieck, Gregory A. Worrell, Benjamin H. Brinkmann, Yogatheesan Varatharajah, Vaclav Kremen, Ravishankar Krishnan Iyer, Zbigniew Kalbarczyk, Jan Cimbalnik
  • Patent number: 11647962
    Abstract: A behavioral state of a brain is classified by automatically selecting one or more sensors based on the signals received from each sensor and one or more selection criteria using one or more processors, calculating at least one measured value from the signal(s) of the selected sensor(s), classifying the behavioral state as: (a) an awake state whenever the measured value(s) for the selected sensor(s) is lower than a first threshold value, (b) a sleep state (N2) whenever the measured value(s) for the selected sensor(s) is equal to or greater than the first threshold value and the measured value(s) is not greater than a second threshold value, or (c) a slow wave sleep state (N3) whenever the measured value(s) from the selected sensor(s) is greater than the first threshold value and the measured value(s) is greater than the second threshold value, and providing a notification of the classified behavioral state.
    Type: Grant
    Filed: January 8, 2019
    Date of Patent: May 16, 2023
    Assignee: MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH
    Inventors: Vaclav Kremen, Brent M. Berry, Benjamin I. Brinkmann, Squire M. Stead, Gregory A. Worrell
  • Patent number: 11337637
    Abstract: Systems, methods, devices, and techniques for analyzing and applying features of a T-wave derived from an electrocardiogram. A computing system can receive a set of data that characterizes an electrocardiogram of a patient. The system can analyze the set of data to identify a T-wave that occurs in the electrocardiogram. The system can determine values of one or more features of the T-wave and provide the information that identifies the values of the one or more features of the T-wave to a user.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: May 24, 2022
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Peter A. Noseworthy, Bo Qiang, Paul A. Friedman, Alan M. Sugrue, Vaclav Kremen, Bryan L. Striemer, Charles J. Bruce, Virend K. Somers, Kevin E. Bennet, Michael J. Ackerman, Samuel J. Asirvatham, John J. Dillon, Christopher V. DeSimone
  • Publication number: 20210275080
    Abstract: Systems, methods, devices, and techniques for analyzing and applying features of a T-wave derived from an electrocardiogram. A computing system can receive a set of data that characterizes an electrocardiogram of a patient. The system can analyze the set of data to identify a T-wave that occurs in the electrocardiogram. The system can determine values of one or more features of the T-wave and provide the information that identifies the values of the one or more features of the T-wave to a user.
    Type: Application
    Filed: August 31, 2017
    Publication date: September 9, 2021
    Applicant: Mayo Foundation for Medical Education and Research
    Inventors: Peter A. Noseworthy, Bo Qiang, Paul A. Friedman, Alan M. Sugrue, Vaclav Kremen, Bryan L. Striemer, Charles J. Bruce, Virend K. Somers, Kevin E. Bennet, Michael J. Ackerman, Samuel J. Asirvatham, John J. Dillon, Christopher V. DeSimone
  • Patent number: 10918292
    Abstract: Non-invasive systems can be used to estimate cardiac output and stroke volume. For example, this document provides cuff occlusion systems and methods for their use so that cardiac output and stroke volume can be estimated in a non-invasive fashion. In some implementations, a patient's brachial artery is occluded by an inflatable cuff device for a period of time. A heart rate and a plurality of blood pressure pulse wave measurement curves can be measured using the cuff device. The data collected can be used to calculate an estimate of the patient's cardiac output and stroke volume.
    Type: Grant
    Filed: July 18, 2017
    Date of Patent: February 16, 2021
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Pavol Sajgalik, Vaclav Kremen, Bruce D. Johnson
  • Publication number: 20210031044
    Abstract: Electrical stimulation of the brain in the lateral temporal cortex has been discovered to enhance memory performance. Also, consistent patterns of pupil response have been discovered to exist across and within distinct phases during encoding and recall of word lists and it is known that these pupillary changes also correlate with intracranial electrophysiologic activity. This document also describes systems and methods for enhancing memory and/or cognitive performance using these features as input for the delivery of electrical stimulation to the lateral temporal cortex of the brain.
    Type: Application
    Filed: March 19, 2019
    Publication date: February 4, 2021
    Inventors: Michal T. Kucewicz, Brent M. Berry, Gregory A. Worrell, Vaclav Kremen
  • Publication number: 20200337645
    Abstract: A behavioral state of a brain is classified by automatically selecting one or more sensors based on the signals received from each sensor and one or more selection criteria using one or more processors, calculating at least one measured value from the signal(s) of the selected sensor(s), classifying the behavioral state as: (a) an awake state whenever the measured value(s) for the selected sensor(s) is lower than a first threshold value, (b) a sleep state (N2) whenever the measured value(s) for the selected sensor(s) is equal to or greater than the first threshold value and the measured value(s) is not greater than a second threshold value, or (c) a slow wave sleep state (N3) whenever the measured value(s) from the selected sensor(s) is greater than the first threshold value and the measured value(s) is greater than the second threshold value, and providing a notification of the classified behavioral state.
    Type: Application
    Filed: January 8, 2019
    Publication date: October 29, 2020
    Inventors: Vaclav Kremen, Brent M. Berry, Benjamin I. Brinkmann, Squire M. Stead, Gregory A. Worrell
  • Publication number: 20200178832
    Abstract: This specification discloses systems, methods, devices, and other techniques for determining the location of a seizure-generating region of the brain of a mammal.
    Type: Application
    Filed: May 25, 2018
    Publication date: June 11, 2020
    Inventors: Brent M. Berry, Gary C. Sieck, Gregory A. Worrell, Benjamin H. Brinkmann, Yogatheesan Varatharajah, Vaclav Kremen, Ravishankar Krishnan Iyer, Zbigniew Kalbarczyk, Jan Cimbalnik
  • Publication number: 20200022592
    Abstract: Non-invasive systems and techniques can be used to accurately measure blood pressures of patients being supported by continuous flow left ventricular assist devices. For example, this document describes cuff occlusion devices and methods for their use so that the blood pressure and pulsatility of patients with significantly reduced pulsatility as a result of continuous flow left ventricular assist device support can be accurately measured in a non-invasive fashion.
    Type: Application
    Filed: January 9, 2018
    Publication date: January 23, 2020
    Applicant: Mayo Foundation for Medical Education and Research
    Inventors: Pavol Sajgalik, Vaclav Kremen, Lyle D. Joyce, John A. Schirger, Bruce D. Johnson, Troy J. Cross, Vratislav Fabian
  • Publication number: 20190167121
    Abstract: Non-invasive systems can be used to estimate cardiac output and stroke volume. For example, this document provides cuff occlusion systems and methods for their use so that cardiac output and stroke volume can be estimated in a non-invasive fashion. In some implementations, a patient's brachial artery is occluded by an inflatable cuff device for a period of time. A heart rate and a plurality of blood pressure pulse wave measurement curves can be measured using the cuff device. The data collected can be used to calculate an estimate of the patient's cardiac output and stroke volume.
    Type: Application
    Filed: July 18, 2017
    Publication date: June 6, 2019
    Applicant: Mayo Foundation for Medical Education and Research
    Inventors: Pavol Sajgalik, Vaclav Kremen, Bruce D. Johnson
  • Patent number: 10251567
    Abstract: An apparatus for an accurate automated non-invasive measurement of blood pressure waveform using brachial (occlusion) cuff pressurized above systolic pressure and using differential pressure sensor. The methodology involves measurement in suprasystolic mode and in utilization and construction of the device followed by algorithms for processing and analysis of measured blood pressure pulse waves and assessment of hemodynamic parameters of human cardiovascular system. The device includes an electro-pump connected to the collar device, a differential pressure sensor, pressure senor A, pressure sensor B, valve, closing a valve and the air reservoir. The cuff is wrapped around a person's arm. The values of the instantaneous pressure in the pneumatic portion of the device are converted into an electric signal by the pressure sensor A, pressure sensor B and the differential pressure sensor.
    Type: Grant
    Filed: January 9, 2017
    Date of Patent: April 9, 2019
    Assignees: Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Institute of Informatics, Robotics and Cybernetics
    Inventors: Vratislav Fabian, Vaclav Kremen, Martin Dobias
  • Publication number: 20170196468
    Abstract: An apparatus for an accurate automated non-invasive measurement of blood pressure waveform using brachial (occlusion) cuff pressurized above systolic pressure and using differential pressure sensor. The methodology involves measurement in suprasystolic mode and in utilization and construction of the device followed by algorithms for processing and analysis of measured blood pressure pulse waves and assessment of hemodynamic parameters of human cardiovascular system. The device includes an electro-pump connected to the collar device, a differential pressure sensor, pressure senor A, pressure sensor B, valve, closing a valve and the air reservoir. The cuff is wrapped around a person's arm. The values of the instantaneous pressure in the pneumatic portion of the device are converted into an electric signal by the pressure sensor A, pressure sensor B and the differential pressure sensor.
    Type: Application
    Filed: January 9, 2017
    Publication date: July 13, 2017
    Applicants: CZECH TECHNICAL UNIVERSITY IN PRAGUE, FACULTY OF ELECTRICA ENGINEERING, CZECH TECHNICAL UNIVERSITY IN PRAGUE, CZECH INSTITUTE OF INFORMATICS, ROBOTICS
    Inventors: Vratislav FABIAN, Vaclav KREMEN, Martin DOBIAS