Patents by Inventor Filiz Isabell Kiral-Kornek
Filiz Isabell Kiral-Kornek 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: 11219405Abstract: One or both of epilepsy seizure detection and prediction at least by performing the following: running multiple input signals from sensors for epilepsy seizure detection through multiple classification models, and applying weights to outputs of each of the classification models to create a final classification output. The weights are adjusted to tune relative output contribution from each classifier model in order that accuracy of the final classification output is improved, while power consumption of all the classification models is reduced. One or both of epilepsy seizure detection and prediction are performed with the adjusted weights. Another method uses streams from sensors for epilepsy seizure detection to train and create the classification models, with fixed weights once trained. Information defining the classification models with fixed weights is communicated to wearable computer platforms for epilepsy seizure detection and prediction.Type: GrantFiled: May 1, 2018Date of Patent: January 11, 2022Assignee: International Business Machines COrporationInventors: Stefan Harrer, Filiz Isabell Kiral-Kornek, Benjamin Scott Mashford, Subhrajit Roy, Jianbin Tang
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Patent number: 11026589Abstract: A recommendation method, system, and computer program product include monitoring a patient using a plurality of sensors, receiving patient information including a comfort level corresponding to a sensor of the plurality of sensors, determining a relevance of each sensor of the plurality of sensors to at least one health conditions of the patient, and determining at least one sensor of the plurality of sensors to disconnect based on the comfort level and the relevance of each sensor.Type: GrantFiled: October 15, 2018Date of Patent: June 8, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Subhrajit Roy, Filiz Isabell Kiral-Kornek, Stefan Harrer, Benjamin Scott Mashford, Mahtab Mirmomeni
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Patent number: 11023516Abstract: Embodiments are directed to a computer implemented method of analyzing media files to improve the presentation of media files to users. The method includes using a processor to analyze a set of media files. The media files are represented by a set of vectors according to characteristics of each media file. A set of preferences is gathered for a user. A configuration from the user is then obtained. The media file vectors are adjusted based on the preferences and configuration. The media files are selected for presentation to the user based on the user's preferences and configuration.Type: GrantFiled: September 22, 2016Date of Patent: June 1, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Robert R. Kerr, Filiz Isabell Kiral-Kornek, Adam J. Makarucha
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Patent number: 11013417Abstract: A health-monitoring method, system, and computer program product include operating at least one sensor of a health-monitoring device having a plurality of sensors, detecting a health condition event that requires operation of an additional sensor of the plurality of sensors to monitor the health condition event, activating the additional sensor of the health-monitoring device, and deactivating the additional sensor when the health condition event that requires the second sensor is no longer detected by the detecting.Type: GrantFiled: October 15, 2018Date of Patent: May 25, 2021Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Benjamin Scott Mashford, Mahtab Mirmomeni, Subhrajit Roy, Filiz Isabell Kiral-Kornek, Stefan Harrer
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Publication number: 20200113443Abstract: A recommendation method, system, and computer program product include monitoring a patient using a plurality of sensors, receiving patient information including a comfort level corresponding to a sensor of the plurality of sensors, determining a relevance of each sensor of the plurality of sensors to at least one health conditions of the patient, and determining at least one sensor of the plurality of sensors to disconnect based on the comfort level and the relevance of each sensor.Type: ApplicationFiled: October 15, 2018Publication date: April 16, 2020Inventors: Subhrajit Roy, Filiz Isabell Kiral-Kornek, Stefan Harrer, Benjamin Scott Mashford, Mahtab Mirmomeni
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Publication number: 20200113444Abstract: A health-monitoring method, system, and computer program product include operating at least one sensor of a health-monitoring device having a plurality of sensors, detecting a health condition event that requires operation of an additional sensor of the plurality of sensors to monitor the health condition event, activating the additional sensor of the health-monitoring device, and deactivating the additional sensor when the health condition event that requires the second sensor is no longer detected by the detecting.Type: ApplicationFiled: October 15, 2018Publication date: April 16, 2020Inventors: Benjamin Scott Mashford, Mahtab Mirmomeni, Subhrajit Roy, Filiz Isabell Kiral-Kornek, Stefan Harrer
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Patent number: 10617362Abstract: Providing an activity for a participant may include receiving at least location data specifying a location of the participant. An engagement level of the participant may be predicted based on the location data. Sensor data associated with the participant may be received, the sensor data comprising at least current physiological data associated with the participant. Based at least on the predicted engagement level and the sensor data, an exercise for the participant to perform may be determined. A notification signal may be transmitted to the participant to perform the exercise.Type: GrantFiled: November 2, 2016Date of Patent: April 14, 2020Assignee: International Business Machines CorporationInventors: Paul R. Bastide, Filiz Isabell Kiral-Kornek, Dwarikanath Mahapatra, Susmita Saha, Arun Vishwanath, Stefan von Cavallar
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Patent number: 10596377Abstract: A method for neuromodulation includes monitoring brain activity of a patient using one or more electrodes attached to the patient, and using a first machine learning model to predict whether a patient will have a seizure based on the monitored brain activity of the patient. The method also includes, responsive to the first machine learning model predicting that the patient will have a seizure, using a second machine learning model to determine a neuromodulation signal pattern for preventing the predicted seizure. The method further includes using a neurostimulator to apply the determined neuromodulation signal pattern to the patient. The method also includes, after applying the determined neuromodulation signal pattern to the patient, detecting whether the patient had the predicted seizure based on the monitored brain activity of the patient. The method further includes adjusting at least the second machine learning model based on whether the patient had the predicted seizure.Type: GrantFiled: November 30, 2017Date of Patent: March 24, 2020Assignee: International Business Machines CorporationInventors: Stefan Harrer, Filiz Isabell Kiral-Kornek, Benjamin Scott Mashford, Subhrajit Roy, Susmita Saha
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Publication number: 20190336061Abstract: One or both of epilepsy seizure detection and prediction at least by performing the following: running multiple input signals from sensors for epilepsy seizure detection through multiple classification models, and applying weights to outputs of each of the classification models to create a final classification output. The weights are adjusted to tune relative output contribution from each classifier model in order that accuracy of the final classification output is improved, while power consumption of all the classification models is reduced. One or both of epilepsy seizure detection and prediction are performed with the adjusted weights. Another method uses streams from sensors for epilepsy seizure detection to train and create the classification models, with fixed weights once trained. Information defining the classification models with fixed weights is communicated to wearable computer platforms for epilepsy seizure detection and prediction.Type: ApplicationFiled: May 1, 2018Publication date: November 7, 2019Inventors: Stefan Harrer, Filiz Isabell Kiral-Kornek, Benjamin Scott Mashford, Subhrajit Roy, Jianbin Tang
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Patent number: 10380882Abstract: In an approach, a processor receives classified data, wherein the classified data has been output by a second processor. A processor adjusts a count based on the classified data. A processor determines whether the count is greater than a pre-set threshold, wherein the pre-set threshold is set by a switching module of the processor. Responsive to determining that the count is greater than the pre-set threshold, the processor triggers an alarm of a pre-set alarm length, wherein the pre-set alarm length is set by the switching module of the processor.Type: GrantFiled: June 28, 2018Date of Patent: August 13, 2019Assignee: International Business Machines CorporationInventors: Stefan Harrer, Filiz Isabell Kiral-Kornek, Benjamin S. Mashford, Subhrajit Roy
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Publication number: 20190160287Abstract: A method for neuromodulation includes monitoring brain activity of a patient using one or more electrodes attached to the patient, and using a first machine learning model to predict whether a patient will have a seizure based on the monitored brain activity of the patient. The method also includes, responsive to the first machine learning model predicting that the patient will have a seizure, using a second machine learning model to determine a neuromodulation signal pattern for preventing the predicted seizure. The method further includes using a neurostimulator to apply the determined neuromodulation signal pattern to the patient. The method also includes, after applying the determined neuromodulation signal pattern to the patient, detecting whether the patient had the predicted seizure based on the monitored brain activity of the patient. The method further includes adjusting at least the second machine learning model based on whether the patient had the predicted seizure.Type: ApplicationFiled: November 30, 2017Publication date: May 30, 2019Inventors: Stefan Harrer, Filiz Isabell Kiral-Kornek, Benjamin Scott Mashford, Subhrajit Roy, Susmita Saha
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Publication number: 20180116599Abstract: Providing heath activity for a participant in a conference call may include receiving data associated with the conference call and location data specifying a location of the participant conducting the conference call. An engagement level of the participant that is to participate in the conference call may be predicted based on the received data and the location data. Sensor data associated with the participant may be received, the sensor data comprising at least current physiological data associated with the participant. The participant's fitness goal may be identified. Based on the predicted engagement level, the sensor data and the participant's fitness goal, an exercise for the participant to perform during the conference call may be determined. A notification signal may be transmitted to the participant to perform the exercise.Type: ApplicationFiled: November 2, 2016Publication date: May 3, 2018Inventors: Paul R. Bastide, Filiz Isabell Kiral-Kornek, Dwarikanath Mahapatra, Susmita Saha, Arun Vishwanath, Stefan von Cavallar
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Publication number: 20180081963Abstract: Embodiments are directed to a computer implemented method of analyzing media files to improve the presentation of media files to users. The method includes using a processor to analyze a set of media files. The media files are represented by a set of vectors according to characteristics of each media file. A set of preferences is gathered for a user. A configuration from the user is then obtained. The media file vectors are adjusted based on the preferences and configuration. The media files are selected for presentation to the user based on the user's preferences and configuration.Type: ApplicationFiled: September 22, 2016Publication date: March 22, 2018Inventors: Robert R. Kerr, Filiz Isabell Kiral-Kornek, Adam J. Makarucha