Patents by Inventor Luca Giancardo
Luca Giancardo 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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Patent number: 11776126Abstract: In one embodiment, a patient's brain is evaluated after onset of a stroke by capturing computed tomography angiography (CTA) images of the brain, analyzing the CTA images with a CTA image analysis program to evaluate the patient's brain, and generating results based upon the analysis that provide an assessment of the brain. In some cases, the CTA image analysis program comprises a machine-learning algorithm that has been trained on the results of perfusion imaging analysis.Type: GrantFiled: May 24, 2022Date of Patent: October 3, 2023Assignee: The Board of Regents, The University of Texas SystemInventors: Sunil A. Sheth, Luca Giancardo, Sean I. Savitz
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Patent number: 11445980Abstract: Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.Type: GrantFiled: October 28, 2020Date of Patent: September 20, 2022Assignee: Massachusetts Institute of TechnologyInventors: Luca Giancardo, Alvaro Sanchez Ferro, Ian Butterworth, Carlos Sanchez Mendoza
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Publication number: 20220284581Abstract: In one embodiment, a patient's brain is evaluated after onset of a stroke by capturing computed tomography angiography (CTA) images of the brain, analyzing the CTA images with a CTA image analysis program to evaluate the patient's brain, and generating results based upon the analysis that provide an assessment of the brain. In some cases, the CTA image analysis program comprises a machine-learning algorithm that has been trained on the results of perfusion imaging analysis.Type: ApplicationFiled: May 24, 2022Publication date: September 8, 2022Inventors: Sunil A. Sheth, Luca Giancardo, Sean I. Savitz
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Patent number: 11341647Abstract: In one embodiment, a patient's brain is evaluated after onset of a stroke by capturing computed tomography angiography (CTA) images of the brain, analyzing the CTA images with a CTA image analysis program to evaluate the patient's brain, and generating results based upon the analysis that provide an assessment of the brain. In some cases, the CTA image analysis program comprises a machine-learning algorithm that has been trained on the results of perfusion imaging analysis.Type: GrantFiled: September 16, 2019Date of Patent: May 24, 2022Assignee: The Board of Regents of the University of Texas SystemInventors: Sunil A. Sheth, Luca Giancardo, Sean I. Savitz
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Patent number: 10959676Abstract: Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.Type: GrantFiled: November 4, 2019Date of Patent: March 30, 2021Assignee: Massachusetts Institute of TechnologyInventors: Luca Giancardo, Alvaro Sanchez Ferro, Ian Butterworth, Carlos Sanchez Mendoza
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Publication number: 20210038159Abstract: Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.Type: ApplicationFiled: October 28, 2020Publication date: February 11, 2021Applicant: Massachusetts Institute of TechnologyInventors: Luca Giancardo, Alvaro Sanchez Ferro, Ian Butterworth, Carlos Sanchez Mendoza
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Patent number: 10699480Abstract: A system constructs a positional contour of a variably contoured surface using data from a 3D capture device. A processor captures data from a tangential orientation capture device and produces a set of relative orientations. The set of relative orientations is transformed with a set of orientation manifold transformer parameters to produce a set of low dimensional orientations. The set of low dimensional orientations and a trained mapping function definition are used to produce a low dimensional point cloud. The low dimensional point cloud is transformed with a set of point cloud manifold transformer parameters, producing a reconstructed synchronized rotationally invariant point cloud.Type: GrantFiled: July 15, 2016Date of Patent: June 30, 2020Assignee: Massachusetts Institute of TechnologyInventors: Carlos Sanchez Mendoza, Luca Giancardo, Tobias Hahn, Aurelien Bourquard
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Publication number: 20200090334Abstract: In one embodiment, a patient's brain is evaluated after onset of a stroke by capturing computed tomography angiography (CTA) images of the brain, analyzing the CTA images with a CTA image analysis program to evaluate the patient's brain, and generating results based upon the analysis that provide an assessment of the brain. In some cases, the CTA image analysis program comprises a machine-learning algorithm that has been trained on the results of perfusion imaging analysis.Type: ApplicationFiled: September 16, 2019Publication date: March 19, 2020Inventors: Sunil A. Sheth, Luca Giancardo, Sean I. Savitz
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Publication number: 20200074631Abstract: In one embodiment, identifying a medical device that is implanted within a patient includes collecting patient data using a sensor, the patient data comprising data regarding the medical device implanted within the patient, inputting the collected patient data into an implanted medical device identification program that is executed by a computing device, automatically comparing the collected patient data with reference data using the implanted medical device identification program, and automatically identifying one or more known implantable medical devices that are a potential match for the medical device implanted within the patient.Type: ApplicationFiled: September 4, 2019Publication date: March 5, 2020Inventors: Luca Giancardo, Eliana E. Bonfante Mejia, Roy F. Riascos Castaneda
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Publication number: 20200060622Abstract: Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.Type: ApplicationFiled: November 4, 2019Publication date: February 27, 2020Applicant: Massachusetts Institute of TechnologyInventors: Luca Giancardo, Alvaro Sanchez Ferro, Ian Butterworth, Carlos Sanchez Mendoza
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Patent number: 10506979Abstract: Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.Type: GrantFiled: December 7, 2017Date of Patent: December 17, 2019Assignee: Massachusetts Institute of TechnologyInventors: Luca Giancardo, Alvaro Sanchez Ferro, Ian Butterworth, Carlos Sanchez Mendoza
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Publication number: 20180235548Abstract: Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.Type: ApplicationFiled: December 7, 2017Publication date: August 23, 2018Applicant: Massachusetts Institute of TechnologyInventors: Luca Giancardo, Alvaro Sanchez Ferro, Ian Butterworth, Carlos Sanchez Mendoza
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Publication number: 20180204379Abstract: A system and method for reconstructing a positional contour of a variably contoured surface includes a plurality of positional sensors and a plurality of orientation sensor disposed upon the surface, a processor and a memory. The system captures a positional description of the surface and produces a rotationally-invariant point cloud, and captures a first absolute orientation description of the surface and produces a first set of relative orientations. The first rotationally-invariant point cloud is resampled with respect to the orientation description to produce a first synchronized rotationally-invariant point cloud. The first set of relative orientations and the first synchronized rotationally-invariant point cloud are transformed to produce respective sets of dimensional representations and manifold transformer parameters, which are mapped to produce a trained mapping function definition.Type: ApplicationFiled: July 15, 2016Publication date: July 19, 2018Inventors: Carlos Sanchez Mendoza, Luca Giancardo, Tobias Hahn, Aurelien Bourquard
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Publication number: 20180020948Abstract: In part, disclosure relates to a monitoring system for monitoring RF attenuation of a material. In one embodiment, the system includes a plurality of transmitting antennas; an RF generator having a first output terminal in electrical communication with each of the plurality of transmitting antennas and a second output terminal; a plurality of receiving antennas, each of the receiving antennas having an output terminal, and a processor having a first input terminal in electrical communication with the second output terminal of the RF generator, having a second input terminal in electrical communication with the output terminal of each of the plurality of receiving antennas, and having a first output in electrical communication with a display. In one embodiment, the processor calculates the attenuation of the RF signal in response to the RF signals received by the plurality of receiving antennas through the material.Type: ApplicationFiled: February 4, 2016Publication date: January 25, 2018Applicant: Massachusetts Institute of TechnologyInventors: Ian Richard Butterworth, Luca Giancardo, Carlos Sanchez Mendoza
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Patent number: 9867573Abstract: Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.Type: GrantFiled: March 25, 2015Date of Patent: January 16, 2018Assignee: Massachusetts Institute of TechnologyInventors: Luca Giancardo, Alvaro Sanchez Ferro, Ian Butterworth, Carlos Sanchez Mendoza
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Publication number: 20150272504Abstract: Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.Type: ApplicationFiled: March 25, 2015Publication date: October 1, 2015Applicant: Massachusetts Institute of TechnologyInventors: Luca Giancardo, Alvaro Sanchez Ferro, Ian Butterworth, Carlos Sanchez Mendoza