Patents by Inventor Luke J. Gosink
Luke J. Gosink 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).
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Publication number: 20220233077Abstract: A wearable patient device is provided that includes one or more sensors. The one or more sensors can record one or both of ECG information or phonocardiographic information. The sensor information can be used to determine the blood pressure of a monitored individual, including on a continuous basis. Blood pressure can be determined using one or both of a determined time to empty or fill one or more heart chambers or first and second blood velocities. Vital sign information can be provided to a monitoring individual, including graphical representations of trend information.Type: ApplicationFiled: April 8, 2022Publication date: July 28, 2022Applicant: Battelle Memorial InstituteInventors: Luke J. Gosink, Sean McNeil, Juan M. Brandi-Lozano, Ryan Williams, Joseph R. Bruce, Jonathon D. McCall
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Patent number: 11317805Abstract: A wearable patient device is provided that includes one or more sensors. The one or more sensors can record one or both of ECG information or phonocardiographic information. The sensor information can be used to determine the blood pressure of a monitored individual, including on a continuous basis. Blood pressure can be determined using one or both of a determined time to empty or fill one or more heart chambers or first and second blood velocities. Vital sign information can be provided to a monitoring individual, including graphical representations of trend information.Type: GrantFiled: July 18, 2018Date of Patent: May 3, 2022Assignee: Battelle Memorial InstituteInventors: Luke J. Gosink, Sean McNeil, Juan M. Brandi-Lozano, Ryan Williams, Joseph R. Bruce, Jonathon D. McCall
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Patent number: 10497071Abstract: Apparatus and methods are disclosed for a monitoring system that integrates multi-domain data from weather, power, cyber, and/or social media sources to greatly increase situation awareness and drive more accurate assessments of reliability, sustainability, and efficiency in infrastructure environments, such as power grids. In one example of the disclosed technology, a method includes receiving real-time data from two or more different domains relevant to an infrastructure system, aggregating the real-time data into a unified representation relevant to the infrastructure system, and providing the unified representation to one or more customizable graphical user interfaces.Type: GrantFiled: January 29, 2014Date of Patent: December 3, 2019Assignee: Battelle Memorial InstituteInventors: Luke J. Gosink, Edwin R. Burtner, Jodi H. Obradovich, Scott T. Dowson
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Publication number: 20190076024Abstract: A wearable patient device is provided that includes one or more sensors. The one or more sensors can record one or both of ECG information or phonocardiographic information. The sensor information can be used to determine the blood pressure of a monitored individual, including on a continuous basis. Blood pressure can be determined using one or both of a determined time to empty or fill one or more heart chambers or first and second blood velocities. Vital sign information can be provided to a monitoring individual, including graphical representations of trend information.Type: ApplicationFiled: July 18, 2018Publication date: March 14, 2019Applicant: Battelle Memorial InstituteInventors: Luke J. Gosink, Sean McNeil, Juan M. Brandi-Lozano, Ryan Williams, Joseph R. Bruce, Jonathon D. McCall
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Publication number: 20170103150Abstract: A method and system for designing models is disclosed. The method includes selecting a plurality of models for modeling a common event of interest. The method further includes aggregating the results of the models and analyzing each model compared to the aggregate result to obtain comparative information. The method also includes providing the information back to the plurality of models to design more accurate models through a feedback loop.Type: ApplicationFiled: December 22, 2016Publication date: April 13, 2017Applicant: BATTELLE MEMORIAL INSTITUTEInventors: Luke J. Gosink, Trenton C. Pulsipher, Landon H. Sego
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Publication number: 20170004417Abstract: A method of generating features optimal to a particular dataset and classifier is disclosed. A dataset of messages is inputted and a classifier is selected. An algebra of features is encoded. Computable features that are capable of describing the dataset from the algebra of features are selected. Irredundant features that are optimal for the classifier and the dataset are selected.Type: ApplicationFiled: September 16, 2016Publication date: January 5, 2017Applicant: BATTELLE MEMORIAL INSTITUTEInventors: Paul J. Bruillard, Luke J. Gosink, Kenneth D. Jarman
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Patent number: 9471871Abstract: A method of generating features optimal to a particular dataset and classifier is disclosed. A dataset of messages is inputted and a classifier is selected. An algebra of features is encoded. Computable features that are capable of describing the dataset from the algebra of features are selected. Irredundant features that are optimal for the classifier and the dataset are selected.Type: GrantFiled: February 21, 2014Date of Patent: October 18, 2016Assignee: BATTELLE MEMORIAL INSTITUTEInventors: Paul J. Bruillard, Luke J. Gosink, Kenneth D. Jarman
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Publication number: 20150242759Abstract: A method of generating features optimal to a particular dataset and classifier is disclosed. A dataset of messages is inputted and a classifier is selected. An algebra of features is encoded. Computable features that are capable of describing the dataset from the algebra of features are selected. Irredundant features that are optimal for the classifier and the dataset are selected.Type: ApplicationFiled: February 21, 2014Publication date: August 27, 2015Applicant: BATTELLE MEMORIAL INSTITUTEInventors: Paul J. Bruillard, Luke J. Gosink, Kenneth D. Jarman
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Publication number: 20140280909Abstract: Apparatus and methods are disclosed for a monitoring system that integrates multi-domain data from weather, power, cyber, and/or social media sources to greatly increase situation awareness and drive more accurate assessments of reliability, sustainability, and efficiency in infrastructure environments, such as power grids. In one example of the disclosed technology, a method includes receiving real-time data from two or more different domains relevant to an infrastructure system, aggregating the real-time data into a unified representation relevant to the infrastructure system, and providing the unified representation to one or more customizable graphical user interfaces.Type: ApplicationFiled: January 29, 2014Publication date: September 18, 2014Applicant: Battelle Memorial InstituteInventors: Luke J. Gosink, Edwin R. Burtner, Jodi H. Obradovich, Scott T. Dowson
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Publication number: 20130044114Abstract: Visual representations having visual nodes that can each show up to two levels of an abstraction hierarchy of data, extracted elements of the data, and/or categories thereof, with the optional ability to explode the data, the extracted elements, and/or the categories into additional visual nodes provide capability for deeper composition exploration. Relationships among the data, the extracted elements, and/or the categories can be represented via lines within and across visual nodes. The visual representation can provide an user with awareness of different attributes of the data, the extracted elements, and/or the categories in context even for large, complex corpora of data. The representations of the data, the extracted elements, and/or the categories in the visual representation can be sorted, can depict relative size or quantity across various attributes, and can provide insight into relationships based on metadata and/or content.Type: ApplicationFiled: August 17, 2011Publication date: February 21, 2013Applicant: BATTELLE MEMORIAL INSTITUTEInventors: Edwin R. Burtner, Shawn J. Bohn, Arthur H. Bleeker, Luke J. Gosink, David S. Gillen