Koninklijke Philips Corporation N.V.

Srinivasan Vairavan

Minnan Xu

Eric Thomas Carlson

Limei Cheng

Larry James Eshelman

Nicolas Wadih Chbat

Abigail Acton Flower

Adam Jacob Seiver

Caitlyn Marie Chiofolo

Syed Waseem Haider

System () for extracting a fetal heart rate from at least one maternal signal using a computer processor (). The system includes sensors (-) attached to a patient to receive abdominal ECG signals and a recorder and digitizer () to record and digitize each at least one maternal signal in a maternal signal buffer (A-D). The system further includes a peak detector () to identify candidate peaks in the maternal signal buffer. The signal stacker () of the system stacks the divides at least one maternal signal buffer into a plurality of snippets, each snippet including one candidate peak and a spatial filter () to identify and attenuate a maternal QRS signal in the plurality of snippets of the maternal signal buffer, the spatial filter including at least one of principal component analysis and orthogonal projection, to produce a raw fetal ECG signal which is stored in a raw fetal ECG buffer. The system further includes a fetal QRS identifier () for identifying peaks in the raw fetal ECG buffer by at least one of principal component analysis and a peak-detector followed by rule based fQRS extraction and a merger () to calculate and merge the fetal heart rate from the identified peaks.

Fetal heart rate extraction from maternal abdominal ECG recordings

Disclosed herein are approaches for monitoring a patient in real-time for ARDS development and providing a biomarker-driven ventilation therapy recommendation tool based on the correlation of various therapy patterns and an ARDS biomarker score. When the ARDS biomarker indicates that a patient has a high ARDS risk, the recommendation tool suggests possible therapy routes based on clinical practice. In response to a high score output by the ARDS detection model, the tool outputs a recommendation to initiate a lung protective ventilation strategy (Low Tidal Volume, high Positive End-Expiratory Pressure (PEEP)). A high ARDS score is recognized to be predictive of the appropriateness of such therapy up to several hours before such intervention is typically initiated under current clinical practices.

Tool for recommendation of ventilation therapy guided by risk score for acute respirator distress syndrome (ARDS)

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.

Modeling techniques for predicting mortality in intensive care units

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Ossining, NY, United States of America

Srinivasan Vairavan