Patents by Inventor Amir B. Geva

Amir B. Geva 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: 10948990
    Abstract: A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.
    Type: Grant
    Filed: May 16, 2019
    Date of Patent: March 16, 2021
    Assignee: InnerEye Ltd.
    Inventors: Amir B. Geva, Leon Y. Deouell, Sergey Vaisman, Omri Harish, Ran El Manor, Eitan Netzer, Shani Shalgi
  • Patent number: 10694968
    Abstract: Systems and method for classifying EEG signals of a human subject generated responsive to a series of images containing target images and non-target images. The EEG signals are in a spatio-temporal representation. The time points are classified independently, using a linear discriminant classifier, to compute spatio-temporal discriminating weights that are used to amplify the spatio-temporal representation, to create a spatially-weighted representation. Principal Component Analysis is used on a temporal domain for dimensionality reduction, separately for each spatial channel of the signals, to create a projection, which is applied to the spatially-weighted representation onto a first plurality of principal components, to create a temporally approximated spatially weighted representation.
    Type: Grant
    Filed: April 13, 2014
    Date of Patent: June 30, 2020
    Assignees: Yissum Research Development Company of the Hebrew University of Jerusalem Ltd., B.G. Negev Technologies & Applications Ltd., at Ben-Gurion University
    Inventors: Leon Y. Deouell, Amir B. Geva, Galit Fuhrmann Alpert, Ran El Manor, Shani Shalgi
  • Publication number: 20200193299
    Abstract: A method of training an image classification neural network comprises: presenting a first plurality of images to an observer as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of a target by the observer in at least one image of the first plurality of images; training the image classification neural network to identify the target in the image, based on the identification of the neurophysiological event; and storing the trained image classification neural network in a computer-readable storage medium.
    Type: Application
    Filed: December 21, 2017
    Publication date: June 18, 2020
    Applicant: InnerEye Ltd.
    Inventors: Amir B. GEVA, Eltan NETZER, Ran El MANOR, Sergey VAISMAN, Leon Y. DEOUELL, Uri ANTMAN
  • Patent number: 10668283
    Abstract: A method of configuring a local brain stimulation tool is disclosed. The method comprises: obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of the subject, each of the BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency. The method further comprises comparing the BNA patterns; and configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on the comparison.
    Type: Grant
    Filed: September 24, 2015
    Date of Patent: June 2, 2020
    Assignee: Elminda Ltd.
    Inventors: Amir B. Geva, Ziv Peremen, Yaki Stern, Amit Reches
  • Publication number: 20190388679
    Abstract: A method of analyzing performance of a brain stimulation tool is disclosed. The method comprises: obtaining encephalography data collected from a brain of a subject electrically stimulated by at least one of the electrode contacts of the brain stimulation tool; segmenting the data into a plurality of epochs, each corresponding to a single stimulation event generated by the brain stimulation tool; and applying a spatiotemporal analysis to the epochs so as to determine at least one of (i) location of the at least one electrode contact in the brain, and (ii) therapeutic effect of the at least one electrode contact.
    Type: Application
    Filed: March 7, 2018
    Publication date: December 26, 2019
    Applicants: Elminda Ltd., Yissum Research Development Company of the Hebrew University of Jersusalem Ltd.
    Inventors: Amir B. GEVA, Hagai BERGMAN, Ziv PEREMEN, Dror HAOR, Daniel SAND, Yaki STERN, Boaz SADEH
  • Publication number: 20190294915
    Abstract: A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.
    Type: Application
    Filed: May 16, 2019
    Publication date: September 26, 2019
    Applicant: InnerEye Ltd.
    Inventors: Amir B. GEVA, Leon Y. DEOUELL, Sergey VAISMAN, Omri HARISH, Ran EI MANOR, Eitan NETZER, Shani SHALGI
  • Patent number: 10303971
    Abstract: A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.
    Type: Grant
    Filed: June 2, 2016
    Date of Patent: May 28, 2019
    Assignee: InnerEye Ltd.
    Inventors: Amir B. Geva, Leon Y. Deouell, Sergey Vaisman, Omri Harish, Ran El Manor, Eitan Netzer, Shani Shalgi
  • Publication number: 20190053726
    Abstract: A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.
    Type: Application
    Filed: October 24, 2018
    Publication date: February 21, 2019
    Applicant: Elminda Ltd.
    Inventors: Amir B. GEVA, Yaki STERN, Amit RECHES
  • Patent number: 10136830
    Abstract: A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.
    Type: Grant
    Filed: November 13, 2013
    Date of Patent: November 27, 2018
    Assignee: Elminda Ltd.
    Inventors: Amir B. Geva, Yaki Stern, Amit Reches
  • Publication number: 20180310854
    Abstract: A method of estimating potential distribution over a cortical surface of a brain of a subject is disclosed. The method comprises: obtaining encephalogram (EG) data recorded from a scalp surface of the head, and head model data describing a geometry of the head and electrical property distribution of tissues within the head. The method further comprises calculating differentials of the EG data over the scalp surface, calculating volumetric distribution of electrical potential between the cortex and scalp surfaces using the EG data and the differentials, and estimating the potential distribution over the cortical surface based on the volumetric distribution.
    Type: Application
    Filed: November 1, 2016
    Publication date: November 1, 2018
    Inventors: Amir B. GEVA, Reuven SHAVIT, Drod HAOR, Yaki STERN, Ziv PEREMEN
  • Publication number: 20180089531
    Abstract: A method of classifying an image is disclosed. The method comprises: applying a computer vision procedure to the image to detect therein candidate image regions suspected as being occupied by a target; presenting to an observer each candidate image region as a visual stimulus, while collecting neurophysiological signals from a brain of the observer; processing the neurophysiological signals to identify a neurophysiological event indicative of a detection of the target by the observer; and determining an existence of the target in the image is based, at least in part, on the identification of the neurophysiological event.
    Type: Application
    Filed: June 2, 2016
    Publication date: March 29, 2018
    Inventors: Amir B. GEVA, Leon Y. DEOUELL, Sergey VAISMAN, Omri HARISH, Ran EI MANOR, Eitan NETZER, Shani SHALGI
  • Patent number: 9895077
    Abstract: A method of analyzing neurophysiological data is disclosed. The method comprises: identifying activity-related features in the data, constructing a brain network activity (BNA) pattern having a plurality of nodes, each representing a feature of the activity-related features, and assigning a connectivity weight to each pair of nodes in the BNA pattern.
    Type: Grant
    Filed: January 18, 2011
    Date of Patent: February 20, 2018
    Assignee: Elminda Ltd.
    Inventors: Goded Shahaf, Amit Reches, Amir B. Geva, Noga Pinchuk, Guy Ben-Bassat, Ayelet Kanter, Revital Shani-Hershkovich, Ronen Gadot, Yaki Stern
  • Patent number: 9839392
    Abstract: A method of estimating the likelihood of brain concussion from neurophysiological data acquired from the brain of the subject is disclosed. The method comprises: identifying activity-related features in the data; constructing a subject-specific brain network activity (BNA) pattern having a plurality of nodes, wherein each node represents a feature of the activity-related features, and each pair of nodes is assigned with a connectivity weight; calculating a BNA pattern similarity describing a comparison between the constructed BNA pattern and a baseline BNA pattern being specific to the subject; and assessing the likelihood of brain concussion responsively to the BNA pattern similarity.
    Type: Grant
    Filed: July 19, 2012
    Date of Patent: December 12, 2017
    Assignee: Elminda Ltd.
    Inventors: Amir B. Geva, Amit Reches, Ronen Gadot
  • Patent number: 9826914
    Abstract: A method for functional analysis of neurophysiological data by decomposing neurophysiological data and EEG signal to form a plurality of signal features. The signal features may then optionally be analyzed to determined one or more patterns.
    Type: Grant
    Filed: April 17, 2014
    Date of Patent: November 28, 2017
    Assignee: Elminda Ltd.
    Inventors: Goded Shahaf, Amir B. Geva, Tomer Carmeli, Noga Pinchuk, Israel Tauber, Amit Reches, Guy Ben-Bassat, Ayelet Kanter, Urit Gordon
  • Publication number: 20170296087
    Abstract: A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.
    Type: Application
    Filed: July 5, 2017
    Publication date: October 19, 2017
    Applicant: Elminda Ltd.
    Inventors: Ronen GADOT, Amir B. GEVA, Amit RECHES, Yaki STERN
  • Patent number: 9730642
    Abstract: Systems and methods for identifying and analyzing neuropsychological flow patterns, include creating a knowledge base of neuropsychological flow patterns. The knowledge base is formed by obtaining signals from multiple research groups for particular behavioral processes, localizing sources of activity participating in the particular behavioral processes, identifying sets of patterns of brain activity for the behavioral processes and neuropsychologically analyzing the localized sources and the identified patterns for each of the research groups. The neuropsychological analysis includes identifying all possible pathways for the identified sets of patterns, ranking the possible pathways based on likelihood for the particular behavioral process and reducing the number of ranked possible pathways based on additional constraints. A system for comparison of obtained signals from an individual to the created knowledge base is provided.
    Type: Grant
    Filed: May 5, 2015
    Date of Patent: August 15, 2017
    Assignee: Elmina Ltd.
    Inventors: Goded Shahaf, Amir B. Geva
  • Publication number: 20170216595
    Abstract: A method of configuring a local brain stimulation tool is disclosed. The method comprises: obtaining a reference brain network activity (BNA) pattern, and a BNA pattern describing a neurophysiological state of the subject, each of the BNA patterns having a plurality of nodes and each node representing a brain location and at least one brain wave frequency. The method further comprises comparing the BNA patterns; and configuring the local brain stimulation tool to apply local brain stimulation at a frequency selected based on the comparison.
    Type: Application
    Filed: September 24, 2015
    Publication date: August 3, 2017
    Inventors: Amir B. GEVA, Ziv PEREMEN, Yaki STERN, Amit RECHES
  • Patent number: 9713433
    Abstract: A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.
    Type: Grant
    Filed: November 11, 2014
    Date of Patent: July 25, 2017
    Assignee: Elminda Ltd.
    Inventors: Ronen Gadot, Amir B. Geva, Amit Reches, Yaki Stern
  • Publication number: 20160213276
    Abstract: A method of managing pain using neurophysiological data acquired from the brain of a subject is disclosed. The method comprises: identifying activity-related features in the data; parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain; comparing at least some of the defined capsules to at least one reference capsule; and assessing the likelihood that the subject is experiencing pain responsively to the comparison.
    Type: Application
    Filed: November 11, 2014
    Publication date: July 28, 2016
    Inventors: Ronen GADOT, Amir B. GEVA, Amit RECHES, Yaki STERN
  • Publication number: 20160051163
    Abstract: Systems and method for classifying EEG signals of a human subject generated responsive to a series of images containing target images and non-target images. The EEG signals are in a spatio-temporal representation. The time points are classified independently, using a linear discriminant classifier, to compute spatio-temporal discriminating weights that are used to amplify the spatio-temporal representation, to create a spatially-weighted representation. Principal Component Analysis is used on a temporal domain for dimensionality reduction, separately for each spatial channel of the signals, to create a projection, which is applied to the spatially-weighted representation onto a first plurality of principal components, to create a temporally approximated spatially weighted representation.
    Type: Application
    Filed: April 13, 2014
    Publication date: February 25, 2016
    Inventors: Leon Y. DEOUELL, Amir B. GEVA, Galit FUHRMANN ALPERT, Ran El MANOR, Shani SHALGI