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).

  • Publication number: 20210196964
    Abstract: Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed.
    Type: Application
    Filed: December 31, 2020
    Publication date: July 1, 2021
    Inventors: Evan D. Schnell, Scott R. Stanslaski, Ilan D. Gordon, Steven M. Goetz, Hijaz M. Haris, Eric J. Panken, Timothy R. Abraham, Thomas L. Chouinard, Susan E. Heilman Kilbane, Karan Chitkara, Christopher M. Arnett, Alicia W. Thompson, Kevin C. Johnson, Ankush Thakur, Lukas Valine, Christopher L. Pulliam, Brady N. Fetting, Rucha Gokul G. Samant, Andrew H. Houchins, Caleb C. Zarns
  • Publication number: 20210196958
    Abstract: Devices, systems, and techniques are disclosed for managing electrical stimulation therapy and/or sensing of physiological signals such as brain signals. For example, a system may assist a clinician in identifying one or more electrode combinations for sensing a brain signal. In another example, a user interface may display brain signal information and values of a stimulation parameter at least partially defining electrical stimulation delivered to a patient when the brain signal information was sensed.
    Type: Application
    Filed: December 31, 2020
    Publication date: July 1, 2021
    Inventors: Evan D. Schnell, Scott R. Stanslaski, Ilan D. Gordon, Steven M. Goetz, Hijaz M. Haris, Eric J. Panken, Timothy R. Abraham, Thomas L. Chouinard, Susan E. Heilman Kilbane, Karan Chitkara, Christopher M. Arnett, Alicia W. Thompson, Kevin C. Johnson, Ankush Thakur, Lukas Valine, Christopher L. Pulliam, Brady N. Fetting, Rucha Gokul G. Samant, Andrew H. Houchins, Caleb C. Zarns
  • Patent number: 11045652
    Abstract: Techniques are described determining electrodes that are proximate or distal to location of an oscillatory signal source in a patient based on current source densities (CSDs). Processing circuitry may determine, for one or more electrodes of a plurality of electrodes, respective time-varying measurements of CSDs, aggregate, for the one or more electrodes of the plurality electrodes, the respective time-varying measurements of the CSDs to generate respective average level values for the one or more electrodes of the plurality of electrodes, determine, for one or more electrodes of the plurality of electrodes, respective phase-magnitude representations of the time-varying measurements of the CSDs. The respective phase-magnitude representations are indicative of respective magnitudes and phases of a particular frequency component of respective time-varying measurements of the CSDs.
    Type: Grant
    Filed: April 26, 2019
    Date of Patent: June 29, 2021
    Assignee: Medtronic, Inc.
    Inventors: Jadin C. Jackson, Yizi Xiao, Paula Andrea Elma Dassbach Green, Jianping Wu, Christopher L. Pulliam, Eric J. Panken, Robert S. Raike, Scott R. Stanslaski
  • Patent number: 11033742
    Abstract: Techniques are disclosed for using probabilistic entropy to select electrodes with fewer artifacts for controlling adaptive electrical neurostimulation. In one example, a plurality of electrodes sense bioelectrical signals of a brain of a patient. Processing circuitry determines, for each bioelectrical signal sensed at a respective electrode of the plurality of electrodes, a probabilistic entropy value of the bioelectrical signal. The processing circuitry compares each of the respective probabilistic entropy values of the bioelectrical signal to respective entropy threshold values and selects, based on the comparisons, a subset of electrodes of the plurality of electrodes. The processing circuitry controls, based on the bioelectrical signals sensed via respective electrodes of the subset of electrodes and excluding the bioelectrical signals of the plurality of bioelectrical signals sensed via respective electrodes not in the subset of electrodes, delivery of electrical stimulation therapy to the patient.
    Type: Grant
    Filed: April 23, 2019
    Date of Patent: June 15, 2021
    Assignee: MEDTRONIC, INC.
    Inventors: Eric J. Panken, Jadin C. Jackson, Yizi Xiao, Christopher L. Pulliam
  • Patent number: 11006841
    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: Grant
    Filed: June 6, 2018
    Date of Patent: May 18, 2021
    Assignee: Covidien LP
    Inventors: John Wainwright, Heather D. Orser, Eric J. Panken, Timothy J. Denison
  • Publication number: 20210093851
    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: November 30, 2020
    Publication date: April 1, 2021
    Inventors: Scott R. Stanslaski, Thomas Adamski, Duane L. Bourget, Timothy J. Denison, Benjamin P. Isaacson, Eric J. Panken, Jeffrey Herron
  • Publication number: 20200406040
    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: September 10, 2020
    Publication date: December 31, 2020
    Inventors: William F. Kaemmerer, Duane L. Bourget, Timothy J. Denison, Eric J. Panken, Scott R. Stanslaski
  • Patent number: 10864368
    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: Grant
    Filed: September 25, 2017
    Date of Patent: December 15, 2020
    Assignee: Medtronic, Inc.
    Inventors: Scott R. Stanslaski, Thomas Adamski, Duane L. Bourget, Timothy J. Denison, Benjamin P. Isaacson, Eric J. Panken, Jeffrey Herron
  • Publication number: 20200338351
    Abstract: Techniques are described to determine a location of at least one oscillatory signal source in a patient. Processing circuitry may determine expected electrical signal levels based on a hypothetical location of the at least one oscillatory signal source. Processing circuitry may determine the electrical signal levels and determine an error value based on the expected electrical signal levels and the determined electrical signal levels. Processing circuitry may adjust the hypothetical location of the at least one oscillatory signal source until the error value is less than or equal to a threshold value, including the example where the error value is minimized.
    Type: Application
    Filed: April 26, 2019
    Publication date: October 29, 2020
    Inventors: Eric J. Panken, Christopher L. Pulliam, Jadin C. Jackson, Yizi Xiao
  • Publication number: 20200338350
    Abstract: Techniques are disclosed for using probabilistic entropy to select electrodes with fewer artifacts for controlling adaptive electrical neurostimulation. In one example, a plurality of electrodes sense bioelectrical signals of a brain of a patient. Processing circuitry determines, for each bioelectrical signal sensed at a respective electrode of the plurality of electrodes, a probabilistic entropy value of the bioelectrical signal. The processing circuitry compares each of the respective probabilistic entropy values of the bioelectrical signal to respective entropy threshold values and selects, based on the comparisons, a subset of electrodes of the plurality of electrodes. The processing circuitry controls, based on the bioelectrical signals sensed via respective electrodes of the subset of electrodes and excluding the bioelectrical signals of the plurality of bioelectrical signals sensed via respective electrodes not in the subset of electrodes, delivery of electrical stimulation therapy to the patient.
    Type: Application
    Filed: April 23, 2019
    Publication date: October 29, 2020
    Inventors: Eric J. Panken, Jadin C. Jackson, Yizi Xiao, Christopher L. Pulliam
  • Publication number: 20200338353
    Abstract: Techniques are described determining electrodes that are proximate or distal to location of an oscillatory signal source in a patient based on current source densities (CSDs). Processing circuitry may determine, for one or more electrodes of a plurality of electrodes, respective time-varying measurements of CSDs, aggregate, for the one or more electrodes of the plurality electrodes, the respective time-varying measurements of the CSDs to generate respective average level values for the one or more electrodes of the plurality of electrodes, determine, for one or more electrodes of the plurality of electrodes, respective phase-magnitude representations of the time-varying measurements of the CSDs. The respective phase-magnitude representations are indicative of respective magnitudes and phases of a particular frequency component of respective time-varying measurements of the CSDs.
    Type: Application
    Filed: April 26, 2019
    Publication date: October 29, 2020
    Inventors: Jadin C. Jackson, Yizi Xiao, Paula Andrea Elma Dassbach Green, Jianping Wu, Christopher L. Pulliam, Eric J. Panken, Robert S. Raike, Scott R. Stanslaski
  • Patent number: 10799700
    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: Grant
    Filed: August 2, 2017
    Date of Patent: October 13, 2020
    Assignee: Medtronic, Inc.
    Inventors: William F. Kaemmerer, Duane L. Bourget, Timothy J. Denison, Eric J. Panken, Scott R. Stanslaski
  • Publication number: 20200164212
    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: January 28, 2020
    Publication date: May 28, 2020
    Inventors: Ashutosh Chaturvedi, Siddharth Dani, Timothy J. Denison, William F. Kaemmerer, Shahram Malekkhosravi, Eric J. Panken, Brandon Zingsheim
  • Publication number: 20200139131
    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: May 7, 2020
    Inventors: Dennis M. Skelton, Jon P. Davis, Eric J. Panken
  • Publication number: 20200129757
    Abstract: Techniques are disclosed to automate determination of therapy parameter values for adaptive deep brain stimulation (aDBS). A medical device may determine differences in power values between a present and a previous power value. Based on the difference being greater than or equal to a threshold value, the medical device may iteratively adjust a present therapy parameter value until the difference in the power values between a present and a previous power value is less than the threshold value.
    Type: Application
    Filed: October 26, 2018
    Publication date: April 30, 2020
    Inventors: Yizi Xiao, Eric J. Panken, Scott R. Stanslaski, Jadin C. Jackson, Christopher Pulliam
  • 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