Patents by Inventor Eric J. Panken

Eric J. Panken 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).

  • Patent number: 10583293
    Abstract: In some examples, a processor of a system evaluates a therapy program based on a score determined based on a volume of tissue expected to be activated (“VTA”) by therapy delivery according to the therapy program. The score may be determined using an efficacy map comprising a plurality of voxels that are each assigned a value. In some examples, the efficacy map is selected from a plurality of stored efficacy maps based on a patient condition, one or more patient symptoms, or both the patient condition and one or more patient symptoms. In addition, in some examples, voxels of the efficacy map are assigned respective values that are associated with a clinical rating scale.
    Type: Grant
    Filed: September 9, 2014
    Date of Patent: March 10, 2020
    Assignee: Medtronic, Inc.
    Inventors: Ashutosh Chaturvedi, Siddharth Dani, Timothy J. Denison, William F. Kaemmerer, Shahram Malekkhosravi, Eric J. Panken, Brandon Zingsheim
  • Publication number: 20190240491
    Abstract: A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.
    Type: Application
    Filed: April 15, 2019
    Publication date: August 8, 2019
    Inventors: Eric J. Panken, Timothy J. Denison, Gregory F. Molnar
  • Patent number: 10369353
    Abstract: Intracranial pressure of a patient may be monitored in order to evaluate a seizure disorder. In some examples, trends in the intracranial pressure over time may be monitored, e.g., to detect changes to the patient's condition. In addition, in some examples, a seizure metric may be generated for a detected seizure based on sensed intracranial pressures. The seizure metric may indicate, for example, an average, median, or highest relative intracranial pressure value observed during a seizure, a percent change from a baseline value during the seizure, or the time for the intracranial pressure to return to a baseline state after the occurrence of a seizure. In addition to or instead of intracranial pressure, patient motion or posture may be monitored in order to assess the patient's seizure disorder. For example, a seizure type or severity may be determined based on patient motion sensed during a seizure.
    Type: Grant
    Filed: January 23, 2009
    Date of Patent: August 6, 2019
    Assignee: Medtronic, Inc.
    Inventors: Jonathon E. Giftakis, Nina M. Graves, Jonathan C. Werder, Eric J. Panken, Timothy J. Denison, Keith A. Miesel, Michele H. Herzog
  • Patent number: 10258798
    Abstract: A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.
    Type: Grant
    Filed: February 1, 2016
    Date of Patent: April 16, 2019
    Assignee: Medtronic, Inc.
    Inventors: Eric J. Panken, Timothy J. Denison, Gregory F. Molnar
  • Publication number: 20190038902
    Abstract: A medical device may receive sensor data from sensing sources, and determine confidence levels for sensor data received from each of the plurality of sensing sources. Each of the confidence levels of the sensor data from each of the sensing sources is a measure of accuracy of the sensor data received from respective sensing sources. The medical device may also determine one or more therapy parameter values based on the determined confidence levels, and cause delivery of therapy based on the determined one or more therapy parameter values.
    Type: Application
    Filed: August 2, 2017
    Publication date: February 7, 2019
    Inventors: William F. Kaemmerer, Duane L. Bourget, Timothy J. Denison, Eric J. Panken, Scott R. Stanslaski
  • Publication number: 20180353084
    Abstract: A system for detecting strokes includes a sensor device configured to obtain physiological data from a patient, for example brain activity data. A computing device communicatively coupled to the sensor device is configured to receive the physiological data and compare it with reference data. The reference data can be patient data from an opposite brain hemisphere to the hemisphere being interrogated or the reference data can be non-patient data from stroke and normal patient populations. Based on comparison of the physiological data and the reference data, the system indicates whether the patient has suffered a stroke.
    Type: Application
    Filed: June 6, 2018
    Publication date: December 13, 2018
    Inventors: John Wainright, Heather D. Orser, Eric J. Panken, Timothy J. Denison
  • Publication number: 20180085572
    Abstract: Techniques are disclosed for defining a homeostatic window for controlling delivery of electrical stimulation therapy to a patient. In one example, a method includes generating and delivering electrical stimulation therapy to tissue of a patient via electrodes. Further, the method includes adjusting a level of a parameter of the electrical stimulation therapy such that a signal of the patient is not less than a lower bound and not greater than an upper bound. The lower bound is determined to be the magnitude of the signal while receiving electrical stimulation therapy sufficient to reduce one or more symptoms of a disease while the patient was receiving medication for reduction of the one or more symptoms. Further, the upper bound is determined to be the magnitude of the signal while receiving electrical stimulation therapy sufficient to reduce the one or more symptoms when the patient was not receiving the medication.
    Type: Application
    Filed: September 25, 2017
    Publication date: March 29, 2018
    Inventors: Scott R. Stanslaski, Thomas Adamski, Duane L. Bourget, Timothy J. Denison, Benjamin P. Isaacson, Eric J. Panken, Jeffrey Herron
  • Publication number: 20180071536
    Abstract: Techniques related to classifying a posture state of a living body are disclosed. One aspect relates to sensing at least one signal indicative of a posture state of a living body. Posture state detection logic classifies the living body as being in a posture state based on the at least one signal, wherein this classification may take into account at least one of posture and activity state of the living body. The posture state detection logic further determines whether the living body is classified in the posture state for at least a predetermined period of time. Response logic is described that initiates a response as a result of the body being classified in the posture state only after the living body has maintained the classified posture state for at least the predetermined period of time. This response may involve a change in therapy, such as neurostimulation therapy, that is delivered to the living body.
    Type: Application
    Filed: September 5, 2017
    Publication date: March 15, 2018
    Inventors: Dennis M. Skelton, Jon P. Davis, Eric J. Panken
  • Patent number: 9776008
    Abstract: Techniques related to classifying a posture state of a living body are disclosed. One aspect relates to sensing at least one signal indicative of a posture state of a living body. Posture state detection logic classifies the living body as being in a posture state based on the at least one signal, wherein this classification may take into account at least one of posture and activity state of the living body. The posture state detection logic further determines whether the living body is classified in the posture state for at least a predetermined period of time. Response logic is described that initiates a response as a result of the body being classified in the posture state only after the living body has maintained the classified posture state for at least the predetermined period of time. This response may involve a change in therapy, such as neurostimulation therapy, that is delivered to the living body.
    Type: Grant
    Filed: April 30, 2009
    Date of Patent: October 3, 2017
    Assignee: MEDTRONIC, INC.
    Inventors: Dennis M. Skelton, Jon P. Davis, Eric J. Panken
  • Patent number: 9737719
    Abstract: A medical device provides stimulation therapy to a patient based on a set of therapy parameters. One or more therapy parameters may be automatically adjusted based on acceleration forces detected by a sensor, the acceleration forces being applied to the patient. In some examples, adjustments to one or more therapy parameter may be made based on an algorithm. The algorithm may be defined by acceleration and therapy parameter value pairs associated with opposite patient positions.
    Type: Grant
    Filed: April 26, 2012
    Date of Patent: August 22, 2017
    Assignee: Medtronic, Inc.
    Inventors: Dennis M. Skelton, Christopher Poletto, Eric J. Panken
  • Patent number: 9622700
    Abstract: Techniques relate to operating a medical device by classifying a detected posture state of a patient. This classification may be performed by comparing the detected posture state of the patient to posture state definitions available within the system. Each definition may be described in terms of a parameter (e.g., vector) indicative of a direction in three-dimensional space. The posture state definitions may be calibrated by automatically estimating values for these parameters, thereby eliminating the need for the patient to assume each posture state during the calibration process to capture actual parameter values. According to another aspect, the estimated parameter values may be updated as the patient assumes various postures during a daily routine. For instance, estimated vectors initially used to calibrate the posture state definitions may be changed over time to more closely represent posture states the patient actually assumes, and to further adapt to changes in a patient's condition.
    Type: Grant
    Filed: October 1, 2015
    Date of Patent: April 18, 2017
    Assignee: Medtronic, Inc.
    Inventors: Rajeev M. Sahasrabudhe, Lynn A. Davenport, Jon P. Davis, Wende L. Dewing, Elizabeth A. Fehrmann, Steven M. Goetz, Shyam L. Gokaldas, Eric J. Panken
  • Patent number: 9545518
    Abstract: Techniques for posture classification of a patient in a coordinate system of a sensor. According to one aspect, a defined vector is obtained from a sensor disposed in a substantially fixed manner relative to the patient. The defined vector is described in a coordinate system of the sensor and without regard to an orientation in which the sensor is disposed in relation to the patient. A detected vector is obtained from the sensor that is described using the coordinate system of the sensor. The detected vector and the defined vector to are used to classify the posture state of the patient without regard to the orientation in which the sensor is disposed in relation to the patient. A response may be initiated by a medical device, which may include adjusting therapy delivery.
    Type: Grant
    Filed: April 30, 2009
    Date of Patent: January 17, 2017
    Assignee: MEDTRONIC, INC.
    Inventors: Eric J. Panken, Dennis M. Skelton
  • Publication number: 20160158553
    Abstract: A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.
    Type: Application
    Filed: February 1, 2016
    Publication date: June 9, 2016
    Inventors: Eric J. Panken, Timothy J. Denison, Gregory F. Molnar
  • Patent number: 9327129
    Abstract: Techniques for classification of a posture state of a patient using multiple posture state definitions, and for delivering therapy according to the patient's classified posture state. Detected parameter values describing a patient's posture state are compared to posture state definitions. This comparison is used to determine similarity values describing how similar the patient's posture state is to each of the posture states described by the posture state definitions. Weighting factors may be determined from the similarity values and used to weight therapy parameter values that are associated with each of the posture state definitions. The resulting weighted therapy parameter values may be used to derive a blended therapy parameter value for use in delivering therapy to the patient. The patient's posture state may be expressed in terms of a blending of the multiple posture state definitions.
    Type: Grant
    Filed: April 30, 2009
    Date of Patent: May 3, 2016
    Assignee: Medtronic, Inc.
    Inventor: Eric J. Panken
  • Publication number: 20160095546
    Abstract: Techniques relate to operating a medical device by classifying a detected posture state of a patient. This classification may be performed by comparing the detected posture state of the patient to posture state definitions available within the system. Each definition may be described in terms of a parameter (e.g., vector) indicative of a direction in three-dimensional space. The posture state definitions may be calibrated by automatically estimating values for these parameters, thereby eliminating the need for the patient to assume each posture state during the calibration process to capture actual parameter values. According to another aspect, the estimated parameter values may be updated as the patient assumes various postures during a daily routine. For instance, estimated vectors initially used to calibrate the posture state definitions may be changed over time to more closely represent posture states the patient actually assumes, and to further adapt to changes in a patient's condition.
    Type: Application
    Filed: October 1, 2015
    Publication date: April 7, 2016
    Inventors: Rajeev M. Sahasrabudhe, Lynn A. Davenport, Jon P. Davis, Wende L. Dewing, Elizabeth A. Fehrmann, Steven M. Goetz, Shyam L. Gokaldas, Eric J. Panken
  • Publication number: 20160067495
    Abstract: In some examples, a processor of a system evaluates a therapy program based on a score determined based on a volume of tissue expected to be activated (“VTA”) by therapy delivery according to the therapy program. The score may be determined using an efficacy map comprising a plurality of voxels that are each assigned a value. In some examples, the efficacy map is selected from a plurality of stored efficacy maps based on a patient condition, one or more patient symptoms, or both the patient condition and one or more patient symptoms. In addition, in some examples, voxels of the efficacy map are assigned respective values that are associated with a clinical rating scale.
    Type: Application
    Filed: September 9, 2014
    Publication date: March 10, 2016
    Inventors: Ashutosh Chaturvedi, Siddharth Dani, Timothy J. Denison, William F. Kaemmerer, Shahram Malekkhosravi, Eric J. Panken, Brandon Zingsheim
  • Patent number: 9259177
    Abstract: Methods and apparatus for storing data records associated with a medical monitoring event in a data structure. These include initiating loop recording in an implantable medical device upon determination of a neurological event, wherein loop recording comprises storing a data record of a plurality of data records in a data structure, the plurality of data records representing information about determined neurological events. Methods and apparatus can further include determining a priority index for the plurality of data records based on severity levels of the determined neurological events and replacing older data records of the plurality of data records on the data structure with new data records according to the priority index, wherein the new data records selectively replace those data records in the data structure having the lowest associated priority index.
    Type: Grant
    Filed: August 5, 2014
    Date of Patent: February 16, 2016
    Assignee: MEDTRONIC, INC.
    Inventors: Touby A. Drew, Jonathon E. Giftakis, David L. Carlson, Eric J. Panken, Jonathan C. Werder, Nina M. Graves
  • Patent number: 9248288
    Abstract: A patient controls the delivery of therapy through volitional inputs that are detected by a biosignal within the brain. The volitional patient input may be directed towards performing a specific physical or mental activity, such as moving a muscle or performing a mathematical calculation. In one embodiment, a biosignal detection module monitors an electroencephalogram (EEG) signal from within the brain of the patient and determines whether the EEG signal includes the biosignal. In one embodiment, the biosignal detection module analyzes one or more frequency components of the EEG signal. In this manner, the patient may adjust therapy delivery by providing a volitional input that is detected by brain signals, wherein the volitional input may not require the interaction with another device, thereby eliminating the need for an external programmer to adjust therapy delivery. Example therapies include electrical stimulation, drug delivery, and delivery of sensory cues.
    Type: Grant
    Filed: January 14, 2013
    Date of Patent: February 2, 2016
    Assignee: Medtronic, Inc.
    Inventors: Eric J. Panken, Timothy J. Denison, Gregory F. Molnar
  • Patent number: 9149210
    Abstract: Techniques relate to operating a medical device by classifying a detected posture state of a patient. This classification may be performed by comparing the detected posture state to posture state definitions available within the system. Each definition may be described in terms of a parameter (e.g., vector) indicative of a direction in three-dimensional space. The posture state definitions may be calibrated by automatically estimating values for these parameters, thereby eliminating the need for the patient to assume each posture state during the calibration process to capture actual parameter values. According to another aspect, the estimated parameter values may be updated as the patient assumes various postures during a daily routine. For instance, estimated vectors initially used to calibrate the posture state definitions may be changed over time to more closely represent posture states the patient actually assumes, and to further adapt to changes in a patient's condition.
    Type: Grant
    Filed: April 28, 2010
    Date of Patent: October 6, 2015
    Assignee: MEDTRONIC, INC.
    Inventors: Rajeev M. Sahasrabudhe, Lynn Davenport, Jon P. Davis, Wende L. Dewing, Elizabeth A. Fehrmann, Steven Goetz, Shyam Gokaldas, Eric J. Panken
  • Patent number: 9014804
    Abstract: An implantable medical device such as an implantable pulse generator that includes EEG sensing for monitoring and treating neurological conditions, and leadless ECG sensing for monitoring cardiac signals. The device includes a connector block with provisions for cardiac leads which may be used/enabled when needed. If significant co-morbid cardiac events are observed in patients via the leadless ECG monitoring, then cardiac leads may be subsequently connected for therapeutic use.
    Type: Grant
    Filed: June 10, 2011
    Date of Patent: April 21, 2015
    Assignee: Medtronic, Inc.
    Inventors: Jonathon E. Giftakis, Nina M. Graves, Jonathan C. Werder, Eric J. Panken