Patents by Inventor Erik Kobylarz

Erik Kobylarz 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: 10485471
    Abstract: A system and method for identifying ictal states in a patient, the system including a plurality of sensors for sensing different non-electroencephalographic signals from the patient, and a processing unit. The processing unit has a processor and memory with instructions for classifying data from the plurality of sensors to determine probability of the patient being ictal, when the probability is high asking the patient if the patient is in an ictal state, reporting to a caregivers if the patient is ictal, and updating the classifier based upon sensor data, probability, and the response. The method includes sensing, using a plurality of non-electroencephalographic sensors, determining, using a classifier trained using a training dataset, probability of the patient being in an ictal state, and if probability is high, asking the patient if the patient is in ictal state, logging the occurrence of an ictal state, and updating the classifier.
    Type: Grant
    Filed: January 6, 2017
    Date of Patent: November 26, 2019
    Assignee: THE TRUSTEES OF DARTMOUTH COLLEGE
    Inventors: Laura Ray, Harrison King Saturley-Hall, Jim Lever, Susan Taylor, Erik Kobylarz, Seyed Mahdi Basiri Azad, Dvij Bajpai, Rebecca Butler, Latika Sridhar
  • Publication number: 20170196497
    Abstract: A system and method for identifying ictal states in a patient, the system including a plurality of sensors for sensing different non-electroencephalographic signals from the patient, and a processing unit. The processing unit has a processor and memory with instructions for classifying data from the plurality of sensors to determine probability of the patient being ictal, when the probability is high asking the patient if the patient is in an ictal state, reporting to a caregivers if the patient is ictal, and updating the classifier based upon sensor data, probability, and the response. The method includes sensing, using a plurality of non-electroencephalographic sensors, determining, using a classifier trained using a training dataset, probability of the patient being in an ictal state, and if probability is high, asking the patient if the patient is in ictal state, logging the occurrence of an ictal state, and updating the classifier.
    Type: Application
    Filed: January 6, 2017
    Publication date: July 13, 2017
    Inventors: Laura Ray, Harrison King Hall, Jim Lever, Susan Taylor, Erik Kobylarz, Erfan Azad, Dvij Bajpai, Rebecca Butler, Latika Sridhar