Patents by Inventor Marjorie Skubic
Marjorie Skubic 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).
-
Publication number: 20210378511Abstract: Methods and systems for an integrated sensor network are described. In one embodiment, sensor data may be accessed from a plurality of motion sensors and a bed sensor deployed in a living unit for a first time period. An activity pattern for the first time period may be identified based on at least a portion of sensor data associated with the first time period. The activity pattern may represent a physical and cognitive health condition of a person residing in the living unit. Additional sensor data may be accessed from the motion sensors and the bed sensor deployed for a second time period. A determination of whether a deviation of the activity pattern of the first time period has occurred for the second time period may be performed. An alert may be generated based on a determination that the derivation has occurred. In some embodiments, user feedback is captured on the significance of the alerts, and the alert method is customized based on this feedback. Additional methods and systems are disclosed.Type: ApplicationFiled: August 24, 2021Publication date: December 9, 2021Inventors: Marjorie Skubic, Marilyn J. Rantz, Mihail Popescu, Shuang Wang, Isaac J. Sledge, Rainer Dane A. Guevara, Elena Florea, James M. Keller
-
Patent number: 11147451Abstract: Methods and systems for an integrated sensor network are described. In one embodiment, sensor data may be accessed from a plurality of motion sensors and a bed sensor deployed in a living unit for a first time period. An activity pattern for the first time period may be identified based on at least a portion of sensor data associated with the first time period. The activity pattern may represent a physical and cognitive health condition of a person residing in the living unit. Additional sensor data may be accessed from the motion sensors and the bed sensor deployed for a second time period. A determination of whether a deviation of the activity pattern of the first time period has occurred for the second time period may be performed. An alert may be generated based on a determination that the derivation has occurred. In some embodiments, user feedback is captured on the significance of the alerts, and the alert method is customized based on this feedback. Additional methods and systems are disclosed.Type: GrantFiled: January 18, 2019Date of Patent: October 19, 2021Assignee: The Curators of the University of MissouriInventors: Marjorie Skubic, Marilyn J. Rantz, Mihail Popescu, Shuang Wang, Isaac J. Sledge, Rainer Dane A. Guevara, Elena Florea, James M. Keller
-
Patent number: 11013415Abstract: Disclosed herein is a new and improved non-invasive bed sensing system for detecting and monitoring physiological movements such as heartbeat and respiration. The system may employ a hydraulic fluid to transduce the physiological pressures to an integrated pressure sensor and a new and improved signal processing method to identify individual cardiac pulses from the electronic signals generated by the hydraulic transducer. The system provides increased sensitivity capable of capturing quantitative pulse and respiration rates with subtle changes, ability to distinguish between instances of low pulse rate and shallow breathing, and improved comfort over existing systems.Type: GrantFiled: August 31, 2012Date of Patent: May 25, 2021Assignee: The Curators of the University of MissouriInventors: David Heise, Licet Rosales, Marjorie Skubic
-
Publication number: 20190167103Abstract: Methods and systems for an integrated sensor network are described. In one embodiment, sensor data may be accessed from a plurality of motion sensors and a bed sensor deployed in a living unit for a first time period. An activity pattern for the first time period may be identified based on at least a portion of sensor data associated with the first time period. The activity pattern may represent a physical and cognitive health condition of a person residing in the living unit. Additional sensor data may be accessed from the motion sensors and the bed sensor deployed for a second time period. A determination of whether a deviation of the activity pattern of the first time period has occurred for the second time period may be performed. An alert may be generated based on a determination that the derivation has occurred. In some embodiments, user feedback is captured on the significance of the alerts, and the alert method is customized based on this feedback. Additional methods and systems are disclosed.Type: ApplicationFiled: January 22, 2019Publication date: June 6, 2019Inventors: Marjorie Skubic, Marilyn J. Rantz, Mihail Popescu, Shuang Wang, Isaac J. Sledge, Rainer Dane A. Guevara, Elena Florea, James M. Keller
-
Publication number: 20190167102Abstract: Methods and systems for an integrated sensor network are described. In one embodiment, sensor data may be accessed from a plurality of motion sensors and a bed sensor deployed in a living unit for a first time period. An activity pattern for the first time period may be identified based on at least a portion of sensor data associated with the first time period. The activity pattern may represent a physical and cognitive health condition of a person residing in the living unit. Additional sensor data may be accessed from the motion sensors and the bed sensor deployed for a second time period. A determination of whether a deviation of the activity pattern of the first time period has occurred for the second time period may be performed. An alert may be generated based on a determination that the derivation has occurred. In some embodiments, user feedback is captured on the significance of the alerts, and the alert method is customized based on this feedback. Additional methods and systems are disclosed.Type: ApplicationFiled: January 18, 2019Publication date: June 6, 2019Inventors: Marjorie Skubic, Marilyn J. Rantz, Mihail Popescu, Shuang Wang, Isaac J. Sledge, Rainer Dane A. Guevara, Elena Florea, James M. Keller
-
Publication number: 20190029569Abstract: A method for determining the risk of a person falling is provided. The method includes acquiring depth image data that comprises a plurality of frames that depict a person walking through a home, and extracting a foreground object from the depth image data. The method additionally includes generating a three-dimensional data object based on the foreground object, and identifying a walking sequence from the three-dimensional data object. The method further includes generating one or more gait parameters from the identified walking sequence, and comparing the one or more gait parameters against a standard clinical measure of the one or more gait parameters to determine a level of risk at which the person is of falling.Type: ApplicationFiled: August 22, 2018Publication date: January 31, 2019Inventors: Erik Edward Stone, Marjorie Skubic, Marilyn Rantz, Mihail Popescu
-
Patent number: 10188295Abstract: Methods and systems for an integrated sensor network are described. In one embodiment, sensor data may be accessed from a plurality of motion sensors and a bed sensor deployed in a living unit for a first time period. An activity pattern for the first time period may be identified based on at least a portion of sensor data associated with the first time period. The activity pattern may represent a physical and cognitive health condition of a person residing in the living unit. Additional sensor data may be accessed from the motion sensors and the bed sensor deployed for a second time period. A determination of whether a deviation of the activity pattern of the first time period has occurred for the second time period may be performed. An alert may be generated based on a determination that the derivation has occurred. In some embodiments, user feedback is captured on the significance of the alerts, and the alert method is customized based on this feedback. Additional methods and systems are disclosed.Type: GrantFiled: June 1, 2010Date of Patent: January 29, 2019Assignee: The Curators of the University of MissouriInventors: Marjorie Skubic, Marilyn J. Rantz, Mihail Popescu, Shuang Wang, Isaac J. Sledge, Rainer Dane A. Guevara, Elena Florea, James M. Keller
-
Patent number: 10080513Abstract: A method for determining the risk of a person falling is provided. The method includes acquiring depth image data that comprises a plurality of frames that depict a person walking through a home, and extracting a foreground object from the depth image data. The method additionally includes generating a three-dimensional data object based on the foreground object, and identifying a walking sequence from the three-dimensional data object. The method further includes generating one or more gait parameters from the identified walking sequence, and comparing the one or more gait parameters against a standard clinical measure of the one or more gait parameters to determine a level of risk at which the person is of falling.Type: GrantFiled: February 3, 2017Date of Patent: September 25, 2018Assignee: The Curators of the University of MissouriInventors: Erik Edward Stone, Marjorie Skubic, Marilyn Rantz, Mihail Popescu
-
Publication number: 20170143240Abstract: A method for determining the risk of a person falling is provided. The method includes acquiring depth image data that comprises a plurality of frames that depict a person walking through a home, and extracting a foreground object from the depth image data. The method additionally includes generating a three-dimensional data object based on the foreground object, and identifying a walking sequence from the three-dimensional data object. The method further includes generating one or more gait parameters from the identified walking sequence, and comparing the one or more gait parameters against a standard clinical measure of the one or more gait parameters to determine a level of risk at which the person is of falling.Type: ApplicationFiled: February 3, 2017Publication date: May 25, 2017Inventors: Erik Edward Stone, Marjorie Skubic, Marilyn Rantz, Mihail Popescu
-
Patent number: 9597016Abstract: A method for performing health risk assessments for a patient in a home or medical facility is provided. In various embodiments, the method comprises compiling depth image data from at least one depth camera associated with a particular patient, and generating at least one three-dimensional object based on the depth image data. The method additionally includes identifying a walking sequence from the at least one three-dimensional object, analyzing the walking sequence to generate one or more parameters, and performing at least one health risk assessment based on the one or more parameters to determine a health risk assessment score. The method further comprises sending an alert message to at least one caregiver when the at least one health risk assessment indicates the occurrence of an incident (i.e., the recorded depth image data) denoting that the patient has fallen or that there exists a high risk of the patient falling.Type: GrantFiled: January 31, 2014Date of Patent: March 21, 2017Assignee: The Curators of the University of MissouriInventors: Erik Edward Stone, Marjorie Skubic, Marilyn Rantz, Mihail Popescu
-
Patent number: 9408561Abstract: Aspects of the present disclosure include methods and corresponding systems for performing health risk assessments for a patient in the home environment. In various aspects, depth image data for a person may be obtained and subsequently processed to generate one or more parameters, such as temporal and spatial gait parameters. Subsequently, the generated parameters may be processed with other medical information related to the patient, such as electronic health records, to perform various health risk assessments.Type: GrantFiled: April 26, 2013Date of Patent: August 9, 2016Assignee: The Curators of the University of MissouriInventors: Erik Edward Stone, Marjorie Skubic
-
Patent number: 8890937Abstract: Methods and systems for anonymized video analysis are described. In one embodiment, a first silhouette image of a person in a living unit may be accessed. The first silhouette image may be based on a first video signal recorded by a first video camera. A second silhouette image of the person in the living unit may be accessed. The second silhouette image may be of a different view of the person than the first silhouette image. The second silhouette image may be based on a second video signal recorded by a second video camera. A three-dimensional model of the person in voxel space may be generated based on the first silhouette image, the second silhouette image, and viewing conditions of the first video camera and the second video camera. In some embodiments, information on falls, gait parameters, and other movements of the person living unit are determined. Additional methods and systems are disclosed.Type: GrantFiled: June 1, 2010Date of Patent: November 18, 2014Assignee: The Curators of the University of MissouriInventors: Marjorie Skubic, James M. Keller, Fang Wang, Derek T. Anderson, Erik Edward Stone, Robert H. Luke, III, Tanvi Banerjee, Marilyn J. Rantz
-
Publication number: 20140148733Abstract: A method for performing health risk assessments for a patient in a home or medical facility is provided. In various embodiments, the method comprises compiling depth image data from at least one depth camera associated with a particular patient, and generating at least one three-dimensional object based on the depth image data. The method additionally includes identifying a walking sequence from the at least one three-dimensional object, analyzing the walking sequence to generate one or more parameters, and performing at least one health risk assessment based on the one or more parameters to determine a health risk assessment score. The method further comprises sending an alert message to at least one caregiver when the at least one health risk assessment indicates the occurrence of an incident (i.e., the recorded depth image data) denoting that the patient has fallen or that there exists a high risk of the patient falling.Type: ApplicationFiled: January 31, 2014Publication date: May 29, 2014Applicant: The Curators of the University of MissouriInventors: Erik Edward Stone, Marjorie Skubic, Marilyn Rantz, Mihail Popescu
-
Publication number: 20130289449Abstract: Aspects of the present disclosure include methods and corresponding systems for performing health risk assessments for a patient in the home environment. In various aspects, depth image data for a person may be obtained and subsequently processed to generate one or more parameters, such as temporal and spatial gait parameters. Subsequently, the generated parameters may be processed with other medical information related to the patient, such as electronic health records, to perform various health risk assessments.Type: ApplicationFiled: April 26, 2013Publication date: October 31, 2013Inventors: Erik Edward Stone, Marjorie Skubic
-
Publication number: 20130197375Abstract: Disclosed herein is a new and improved non-invasive bed sensing system for detecting and monitoring physiological movements such as heartbeat and respiration. The system may employ a hydraulic fluid to transduce the physiological pressures to an integrated pressure sensor and a new and improved signal processing method to identify individual cardiac pulses from the electronic signals generated by the hydraulic transducer. The system provides increased sensitivity capable of capturing quantitative pulse and respiration rates with subtle changes, ability to distinguish between instances of low pulse rate and shallow breathing, and improved comfort over existing system.Type: ApplicationFiled: August 31, 2012Publication date: August 1, 2013Applicant: THE CURATORS OF THE UNIVERSITY OF MISSOURIInventors: David Heise, Licet Rosales, Marjorie Skubic
-
Publication number: 20100328436Abstract: Methods and systems for anonymized video analysis are described. In one embodiment, a first silhouette image of a person in a living unit may be accessed. The first silhouette image may be based on a first video signal recorded by a first video camera. A second silhouette image of the person in the living unit may be accessed. The second silhouette image may be of a different view of the person than the first silhouette image. The second silhouette image may be based on a second video signal recorded by a second video camera. A three-dimensional model of the person in voxel space may be generated based on the first silhouette image, the second silhouette image, and viewing conditions of the first video camera and the second video camera. In some embodiments, information on falls, gait parameters, and other movements of the person living unit are determined. Additional methods and systems are disclosed.Type: ApplicationFiled: June 1, 2010Publication date: December 30, 2010Applicant: THE CURATORS OF THE UNIVERSITY OF MISSOURIInventors: Marjorie Skubic, James M. Keller, Fang Wang, Derek T. Anderson, Erik Edward Stone, Robert H. Luke, III, Tanvi Banerjee, Marilyn J. Rantz
-
Publication number: 20100302043Abstract: Methods and systems for an integrated sensor network are described. In one embodiment, sensor data may be accessed from a plurality of motion sensors and a bed sensor deployed in a living unit for a first time period. An activity pattern for the first time period may be identified based on at least a portion of sensor data associated with the first time period. The activity pattern may represent a physical and cognitive health condition of a person residing in the living unit. Additional sensor data may be accessed from the motion sensors and the bed sensor deployed for a second time period. A determination of whether a deviation of the activity pattern of the first time period has occurred for the second time period may be performed. An alert may be generated based on a determination that the derivation has occurred. In some embodiments, user feedback is captured on the significance of the alerts, and the alert method is customized based on this feedback. Additional methods and systems are disclosed.Type: ApplicationFiled: June 1, 2010Publication date: December 2, 2010Applicant: THE CURATORS OF THE UNIVERSITY OF MISSOURIInventors: Marjorie Skubic, Marilyn J. Rantz, Mihail Popescu, Shuang Wang, Isaac J. Sledge, Rainer Dane A. Guevara, Elena Florea, James M. Keller