Patents Assigned to Elminda Ltd.
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Patent number: 11400289Abstract: Apparatus and methods are described for use with electrophysiological signal detecting electrodes, and a transcranial magnetic stimulation device. A computer processor drives the transcranial stimulation device to apply one or more pulses of transcranial magnetic stimulation to a subject. Within a given time period of applying one of the one or more pulses of transcranial magnetic stimulation to the subject, the computer processor detects an electrophysiological signal of the subject, using the electrophysiological signal detecting electrodes. At least partially in response thereto, the computer processor predicts an outcome of treating the subject for a neuropsychiatric condition, using a given therapy, and generates an output on an output device in response to the predicted outcome. Other applications are also described.Type: GrantFiled: October 25, 2017Date of Patent: August 2, 2022Assignees: BRAINSWAY LTD., ELMINDA LTD., B. G. NEGEV TECHNOLOGIES AND APPLICATIONS LTD.Inventors: Uri Alyagon, Abraham Zangen, Gaby S. Pell, Yiftach Roth, Ronen Segal, Amir Geva, Ziv Peremen, Boaz Sadeh, Revital Shani-Hershkovich, Dror Haor
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Patent number: 10668283Abstract: 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: GrantFiled: September 24, 2015Date of Patent: June 2, 2020Assignee: Elminda Ltd.Inventors: Amir B. Geva, Ziv Peremen, Yaki Stern, Amit Reches
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Publication number: 20190388679Abstract: 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: ApplicationFiled: March 7, 2018Publication date: December 26, 2019Applicants: 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
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Publication number: 20190247654Abstract: Apparatus and methods are described for use with electrophysiological signal detecting electrodes, and a transcranial magnetic stimulation device. A computer processor drives the transcranial stimulation device to apply one or more pulses of transcranial magnetic stimulation to a subject. Within a given time period of applying one of the one or more pulses of transcranial magnetic stimulation to the subject, the computer processor detects an electrophysiological signal of the subject, using the electrophysiological signal detecting electrodes. At least partially in response thereto, the computer processor predicts an outcome of treating the subject for a neuropsychiatric condition, using a given therapy, and generates an output on an output device in response to the predicted outcome. Other applications are also described.Type: ApplicationFiled: October 25, 2017Publication date: August 15, 2019Applicants: BRAINSWAY LTD, ELMINDA LTD., BGN TECHNOLOGIES LTD.Inventors: Uri ALYAGON, Abraham ZANGEN, Gaby S. PELL, Yiftach ROTH, Ronen SEGAL, Amir GEVA, Ziv PEREMEN, Boaz SADEH, Revital SHANI-HERSHKOVICH, Dror HAOR
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Publication number: 20190053726Abstract: 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: ApplicationFiled: October 24, 2018Publication date: February 21, 2019Applicant: Elminda Ltd.Inventors: Amir B. GEVA, Yaki STERN, Amit RECHES
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Patent number: 10136830Abstract: 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: GrantFiled: November 13, 2013Date of Patent: November 27, 2018Assignee: Elminda Ltd.Inventors: Amir B. Geva, Yaki Stern, Amit Reches
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Patent number: 9895077Abstract: 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: GrantFiled: January 18, 2011Date of Patent: February 20, 2018Assignee: Elminda Ltd.Inventors: Goded Shahaf, Amit Reches, Amir B. Geva, Noga Pinchuk, Guy Ben-Bassat, Ayelet Kanter, Revital Shani-Hershkovich, Ronen Gadot, Yaki Stern
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Patent number: 9839392Abstract: 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: GrantFiled: July 19, 2012Date of Patent: December 12, 2017Assignee: Elminda Ltd.Inventors: Amir B. Geva, Amit Reches, Ronen Gadot
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Patent number: 9826914Abstract: 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: GrantFiled: April 17, 2014Date of Patent: November 28, 2017Assignee: Elminda Ltd.Inventors: Goded Shahaf, Amir B. Geva, Tomer Carmeli, Noga Pinchuk, Israel Tauber, Amit Reches, Guy Ben-Bassat, Ayelet Kanter, Urit Gordon
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Publication number: 20170296087Abstract: 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: ApplicationFiled: July 5, 2017Publication date: October 19, 2017Applicant: Elminda Ltd.Inventors: Ronen GADOT, Amir B. GEVA, Amit RECHES, Yaki STERN
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Patent number: 9713433Abstract: 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: GrantFiled: November 11, 2014Date of Patent: July 25, 2017Assignee: Elminda Ltd.Inventors: Ronen Gadot, Amir B. Geva, Amit Reches, Yaki Stern
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Publication number: 20150305685Abstract: 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: ApplicationFiled: May 5, 2015Publication date: October 29, 2015Applicant: ELMINDA LTD.Inventors: Goded SHAHAF, Amir B. GEVA
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Patent number: 9135221Abstract: 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: GrantFiled: November 26, 2012Date of Patent: September 15, 2015Assignee: Elminda Ltd.Inventors: Goded Shahaf, Amir B. Geva
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Publication number: 20140228702Abstract: 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: ApplicationFiled: April 17, 2014Publication date: August 14, 2014Applicant: Elminda Ltd.Inventors: Goded SHAHAF, Amir B. Geva, Tomer Carmeli, Noga Pinchuk, Israel Tauber, Amit Reches, Guy Ben-Bassat, Ayelet Kanter, Urit Gordon
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Publication number: 20140163328Abstract: 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: ApplicationFiled: July 19, 2012Publication date: June 12, 2014Applicant: Elminda Ltd.Inventors: Amir B. Geva, Amit Reches, Ronen Gadot
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Patent number: 8706205Abstract: 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: GrantFiled: November 30, 2008Date of Patent: April 22, 2014Assignee: Elminda Ltd.Inventors: Goded Shahaf, Amir B. Geva, Tomer Carmeli, Noga Pinchuk, Israel Tauber, Amit Reches, Guy Ben-Bassat, Ayelet Kanter, Urit Gordon
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Publication number: 20130080127Abstract: 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: ApplicationFiled: November 26, 2012Publication date: March 28, 2013Applicant: Elminda Ltd.Inventor: Elminda Ltd.
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Patent number: 8320649Abstract: 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: GrantFiled: May 27, 2007Date of Patent: November 27, 2012Assignee: Elminda Ltd.Inventors: Goded Shahaf, Amir B. Geva
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Publication number: 20120296569Abstract: 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: ApplicationFiled: January 18, 2011Publication date: November 22, 2012Applicant: Elminda Ltd.Inventors: Goded Shahaf, Amit Reches, Amir B. Geva, Noga Pinchuk, Guy Ben-Bassat, Ayelet Kanter, Revital Shani-Hershkovich, Ronen Gadot, Yaki Stern