Patents by Inventor Jonathan Handler

Jonathan Handler 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: 20190183362
    Abstract: Devices, systems, and methods for filtering medical device noise artifacts from circulatory waveform signals are disclosed. A circulatory pressure is measured and transformed from the time domain to the frequency domain for analysis to determine patient status. To avoid artifacts of the pumping, the time-domain measurements are filtered to generate a filtered time-domain signal, by removing active pumping periods. The filtered time-domain signal is transformed into a frequency-domain signal, which is analyzed based upon peaks indicating respiratory rate, heart rate, or harmonics thereof. Peaks may be adjusted based on a ratio that considers removed signals. A metric of patient status is then determined from the peaks or corresponding frequencies. The patient status may be related to blood volume of the patient and may be used to control pump operation.
    Type: Application
    Filed: December 14, 2018
    Publication date: June 20, 2019
    Inventors: Jonathan Handler, James Martucci, Kyle Hocking, Susan Eagle, Colleen Brophy, Richard Boyer, Franz Baudenbacher
  • Publication number: 20190000326
    Abstract: Devices, systems, and methods for filtering medical device noise artifacts from venous waveform signals are disclosed. A peripheral venous pressure (PVP) is measured and transformed from the time domain to the frequency domain for analysis to determine patient status. To avoid artifacts of the pumping, the time-domain PVP measurements are filtered to generate a filtered time-domain PVP signal by removing active pumping periods. The filtered time-domain PVP signal is transformed into a frequency-domain PVP signal, which is analyzed based upon peaks indicating respiratory rate, heart rate, or harmonics thereof. A metric of patient status is then determined from the peaks or corresponding frequencies. The patient status may be related to blood volume of the patient and may be used to control pump operation.
    Type: Application
    Filed: June 29, 2018
    Publication date: January 3, 2019
    Inventors: Jonathan Handler, James Martucci, Kyle Hocking, Susan Eagle, Colleen Brophy, Richard Boyer, Franz Baudenbacher
  • Publication number: 20180168467
    Abstract: Devices, systems, and methods for monitoring patient hemodynamic status, systemic vascular resistance, reversal of cardiac and respiratory rates, and patient respiratory volume or effort are disclosed. A peripheral venous pressure is measured and used to detect levels, changes, or problems relating to patient blood volume. The peripheral venous pressure measurement is transformed from the time domain to the frequency domain for analysis. A heart rate frequency is identified, and harmonics of the heart rate frequency are detected and evaluated to determine, among other things, hypovolemia or hypervolemia, systemic vascular resistance, and of cardiac and respiratory rates, and patient respiratory volume or effort.
    Type: Application
    Filed: December 15, 2017
    Publication date: June 21, 2018
    Inventors: Jonathan Handler, James Martucci, Kyle Hocking, Susan Eagle, Colleen Brophy, Richard Boyer, Franz Baudenbacher
  • Patent number: 9489433
    Abstract: A dataset is searched using inclusion set criteria to produce an inclusion set and exclusion set criteria to produce an exclusion set. A set of unique content elements is identified from the inclusion set and the exclusion set. Metrics are derived from the inclusion set, exclusion set, and set of unique content elements, such as a measure, for each unique content element, of the absolute value of the difference between the percentage of records in the inclusion set containing the unique content element and the percentage of records in the exclusion set containing the unique content element. The unique content element set may be sorted and displayed in decreasing order of the above-referenced absolute value. The content element set may be filtered. Individual content elements may be excluded from the content set. A predictive model may be generated based on the resulting version of the content element set.
    Type: Grant
    Filed: January 27, 2016
    Date of Patent: November 8, 2016
    Assignee: MModal IP LLC
    Inventors: Jonathan A. Handler, Juergen Fritsch
  • Publication number: 20160140193
    Abstract: A dataset is searched using inclusion set criteria to produce an inclusion set and exclusion set criteria to produce an exclusion set. A set of unique content elements is identified from the inclusion set and the exclusion set. Metrics are derived from the inclusion set, exclusion set, and set of unique content elements, such as a measure, for each unique content element, of the absolute value of the difference between the percentage of records in the inclusion set containing the unique content element and the percentage of records in the exclusion set containing the unique content element. The unique content element set may be sorted and displayed in decreasing order of the above-referenced absolute value. The content element set may be filtered. Individual content elements may be excluded from the content set. A predictive model may be generated based on the resulting version of the content element set.
    Type: Application
    Filed: January 27, 2016
    Publication date: May 19, 2016
    Applicant: MModal IP LLC
    Inventors: Jonathan A. Handler, Juergen Fritsch
  • Patent number: 9251203
    Abstract: A dataset is searched using inclusion set criteria to produce an inclusion set and exclusion set criteria to produce an exclusion set. A set of unique content elements is identified from the inclusion set and the exclusion set. Metrics are derived from the inclusion set, exclusion set, and set of unique content elements, such as a measure, for each unique content element, of the absolute value of the difference between the percentage of records in the inclusion set containing the unique content element and the percentage of records in the exclusion set containing the unique content element. The unique content element set may be sorted and displayed in decreasing order of the above-referenced absolute value. The content element set may be filtered. Individual content elements may be excluded from the content set. A predictive model may be generated based on the resulting version of the content element set.
    Type: Grant
    Filed: December 20, 2013
    Date of Patent: February 2, 2016
    Assignee: MModal IP LLC
    Inventors: Jonathan A. Handler, Juergen Fritsch
  • Patent number: 9122985
    Abstract: The described implementations relate to expressing terminologies in a hierarchical form. One implementation can receive a terminology that can include concept-code pairs. For example, each of the concept-code pairs can include a concept and a code that is assigned to the concept by the terminology. The implementation can map the concepts to levels of a hierarchical ontology, and associate some of the concepts across different levels of the hierarchical ontology. The implementation can also provide programmatic access to the concept-code pairs of the terminology via the hierarchical ontology.
    Type: Grant
    Filed: October 28, 2011
    Date of Patent: September 1, 2015
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Bryan Dove, Jonathan A. Handler, Michael J. Bortnick, Dongbai Guo
  • Publication number: 20140222784
    Abstract: A dataset is searched using inclusion set criteria to produce an inclusion set and exclusion set criteria to produce an exclusion set. A set of unique content elements is identified from the inclusion set and the exclusion set. Metrics are derived from the inclusion set, exclusion set, and set of unique content elements, such as a measure, for each unique content element, of the absolute value of the difference between the percentage of records in the inclusion set containing the unique content element and the percentage of records in the exclusion set containing the unique content element. The unique content element set may be sorted and displayed in decreasing order of the above-referenced absolute value. The content element set may be filtered. Individual content elements may be excluded from the content set. A predictive model may be generated based on the resulting version of the content element set.
    Type: Application
    Filed: December 20, 2013
    Publication date: August 7, 2014
    Applicant: MModal IP LLC
    Inventors: Jonathan A. Handler, Juergen Fritsch
  • Patent number: 8510850
    Abstract: A de-identification system is described herein for converting original messages into de-identified messages. The de-identification system leverages original message-inception-functionality which operates as a gateway for providing original messages for use by a production environment. Namely, the de-identification system includes a transformation module that receives the original messages from the original message-inception functionality. The transformation module then converts instances of sensitive information contained in the original messages into non-sensitive information, to produce the de-identified messages. A de-identified environment can consume the de-identified messages with high confidence that the messages have been properly sanitized. This is because the de-identification work has been performed at a well-contained quarantine level of the message processing functionality.
    Type: Grant
    Filed: December 17, 2010
    Date of Patent: August 13, 2013
    Assignee: Microsoft Corporation
    Inventors: Bryan J. Dove, Craig F. Feied, Michael T. Gillam, Jonathan A. Handler, Dobroslav K. Kolev, Kurt Arley Luke Thorne
  • Patent number: 8438182
    Abstract: The described implementations relate to patient identification. One implementation can acquire binary biometric data and structured data from a patient. This implementation can compare the acquired patient binary biometric data and structured data to binary biometric data and structured data associated with patient files in an electronic master patient index.
    Type: Grant
    Filed: December 30, 2010
    Date of Patent: May 7, 2013
    Assignee: Microsoft Corporation
    Inventors: Michael T. Gillam, Jonathan A. Handler, Craig Feied, John C. Gillotte
  • Publication number: 20130110763
    Abstract: The described implementations relate to expressing terminologies in a hierarchical form. One implementation can receive a terminology that can include concept-code pairs. For example, each of the concept-code pairs can include a concept and a code that is assigned to the concept by the terminology. The implementation can map the concepts to levels of a hierarchical ontology, and associate some of the concepts across different levels of the hierarchical ontology. The implementation can also provide programmatic access to the concept-code pairs of the terminology via the hierarchical ontology.
    Type: Application
    Filed: October 28, 2011
    Publication date: May 2, 2013
    Inventors: Bryan Dove, Jonathan A. Handler, Michael J. Bortnick, Dongbai Guo
  • Patent number: 8380719
    Abstract: One or more techniques and/or systems are disclosed that provide for document retrieval where a user can identify key attributes of potential target documents that are desirable (e.g., have a particular semantic content for the user). Further, relevant documents that comprise the desired semantic content can be retrieved. Additionally, the user can provide feedback on the retrieved documents, for example, based on key semantic concepts found in the documents, and the input can be used to update the classification. For example, this process can be iterated to improve the retrieval and precision of documents found through machine learning techniques.
    Type: Grant
    Filed: June 18, 2010
    Date of Patent: February 19, 2013
    Assignee: Microsoft Corporation
    Inventors: Eric I-Chao Chang, Michael Todd Gillam, Yan Xu, Craig Feied, Jonathan Handler
  • Publication number: 20120173576
    Abstract: The described implementations relate to patient identification. One implementation can acquire binary biometric data and structured data from a patient. This implementation can compare the acquired patient binary biometric data and structured data to binary biometric data and structured data associated with patient files in an electronic master patient index.
    Type: Application
    Filed: December 30, 2010
    Publication date: July 5, 2012
    Applicant: Microsoft Corporation
    Inventors: Michael T. Gillam, Jonathan A. Handler, Craig Feied, John C. Gillotte
  • Publication number: 20120159637
    Abstract: A de-identification system is described herein for converting original messages into de-identified messages. The de-identification system leverages original message-inception-functionality which operates as a gateway for providing original messages for use by a production environment. Namely, the de-identification system includes a transformation module that receives the original messages from the original message-inception functionality. The transformation module then converts instances of sensitive information contained in the original messages into non-sensitive information, to produce the de-identified messages. A de-identified environment can consume the de-identified messages with high confidence that the messages have been properly sanitized. This is because the de-identification work has been performed at a well-contained quarantine level of the message processing functionality.
    Type: Application
    Filed: December 17, 2010
    Publication date: June 21, 2012
    Applicant: Microsoft Corporation
    Inventors: Bryan J. Dove, Craig F. Feied, Michael T. Gillam, Jonathan A. Handler, Dobroslav K. Kolev, Kurt Arley Luke Thorne
  • Publication number: 20110314024
    Abstract: One or more techniques and/or systems are disclosed that provide for document retrieval where a user can identify key attributes of potential target documents that are desirable (e.g., have a particular semantic content for the user). Further, relevant documents that comprise the desired semantic content can be retrieved. Additionally, the user can provide feedback on the retrieved documents, for example, based on key semantic concepts found in the documents, and the input can be used to update the classification. For example, this process can be iterated to improve the retrieval and precision of documents found through machine learning techniques.
    Type: Application
    Filed: June 18, 2010
    Publication date: December 22, 2011
    Applicant: Microsoft Corporation
    Inventors: Eric I-Chao Chang, Michael Todd Gillam, Yan Xu, Craig Feied, Jonathan Handler