Patents by Inventor Syed Waseem Haider

Syed Waseem Haider 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).

  • Non-invasive estimation of intra-pleural pressure and/or computation of work of breathing based on a non-invasive estimation of intra-pleural pressure
    Patent number: 10842411
    Abstract: A method includes obtaining a first physiological parameter indicative of a non-invasively measured airway pressure of a subject, obtaining a second physiological parameter indicative of a non-invasively measured air flow into the lungs of the subject, and estimating a third physiological parameter indicative of an intra-pleural pressure of the subject based on the first and second physiological parameters and generating a signal indicative thereof. An other method includes obtaining a first physiological parameter indicative of a non-invasively estimated intra-pleural pressure of a subject, determining a second physiological parameter indicative of a lung volume of the subject that is based on a third physiological parameter indicative of a non-invasively measured air flow into the lungs of the subject, and determining a work of breathing based on the first and second physiological parameters and generating a signal indicative thereof.
    Type: Grant
    Filed: June 19, 2014
    Date of Patent: November 24, 2020
    Assignee: Koninklijke Philips N.V.
    Inventors: Nicolas Wadih Chbat, Antonio Albanese, Syed Waseem Haider, Nikolaos Karamolegkos, Adam Jacob Seiver
  • Modeling techniques for predicting mortality in intensive care units
    Patent number: 9959390
    Abstract: A medical modeling system and method predict a risk of a physiological condition, such as mortality, for a patient. Measurements of a plurality of predictive variables for the patient are received. The plurality of predictive variables are predictive of the risk of the physiological condition. The risk of the physiological condition is calculated by applying the received measurements to at least one model modeling the risk of the physiological condition using the plurality of predictive variables. The at least one model includes at least one of a hidden Markov model and a logistic regression model. An indication of the risk of the physiological condition is output to a clinician.
    Type: Grant
    Filed: August 30, 2013
    Date of Patent: May 1, 2018
    Assignee: Koninklijke Philips N.V.
    Inventors: Srinivasan Vairavan, Larry James Eshelman, Adam Jacob Seiver, Abigail Acton Flower, Syed Waseem Haider
  • NON-INVASIVE ESTIMATION OF INTRA-PLEURAL PRESSURE AND/OR COMPUTATION OF WORK OF BREATHING BASED ON A NON-INVASIVE ESTIMATION OF INTRA-PLEURAL PRESSURE
    Publication number: 20160135713
    Abstract: A method includes obtaining a first physiological parameter indicative of a non-invasively measured airway pressure of a subject, obtaining a second physiological parameter indicative of a non-invasively measured air flow into the lungs of the subject, and estimating a third physiological parameter indicative of an intra-pleural pressure of the subject based on the first and second physiological parameters and generating a signal indicative thereof. An other method includes obtaining a first physiological parameter indicative of a non-invasively estimated intra-pleural pressure of a subject, determining a second physiological parameter indicative of a lung volume of the subject that is based on a third physiological parameter indicative of a non-invasively measured air flow into the lungs of the subject, and determining a work of breathing based on the first and second physiological parameters and generating a signal indicative thereof.
    Type: Application
    Filed: June 19, 2014
    Publication date: May 19, 2016
    Applicant: Koninklijke Philips N.V.
    Inventors: Nicolas Wadih CHBAT, Antonio ALBANESE, Syed Waseem HAIDER, Nikolaos KARAMOLEGKOS, Adam Jacob SEIVER
  • THE MODELING TECHNIQUES FOR PREDICTING MORTALITY IN INTENSIVE CARE UNITS
    Publication number: 20150213227
    Abstract: A medical modeling system and method predict a risk of a physiological condition, such as mortality, for a patient. Measurements of a plurality of predictive variables for the patient are received. The plurality of predictive variables are predictive of the risk of the physiological condition. The risk of the physiological condition is calculated by applying the received measurements to at least one model modeling the risk of the physiological condition using the plurality of predictive variables. The at least one model includes at least one of a hidden Markov model and a logistic regression model. An indication of the risk of the physiological condition is output to a clinician.
    Type: Application
    Filed: August 30, 2013
    Publication date: July 30, 2015
    Inventors: Srinivasan Vairavan, Larry James Eshelman, Adam Jacob Seiver, Abigail Acton Flower, Syed Waseem Haider