University of Florida Research Foundation Inc

Convergent Engineering, Inc.

Other

Koninklijke Philips Corporation N.v.

Philips North America LLC

Neil Russell Euliano, Ii

Jose Carlos Principe

Dorothee Marossero

Tammy Y Euliano

Michael Joseph Banner

Andrea Gabrielli

Anatole D Martin

Dorothee Maroserro

Shalom Darmanjian

Nawar Nazar Yousif Al-Rawas

Daniel Patrick McKenna

Brent Arnold Myers

Paul Bradford Blanch

Glen Flores

Venkata V Meka

Victor L Brennan

A sensor interface system for providing a connection between at least one sensor and a maternal-fetal monitor, wherein the interface system converts electrical muscle activity captured by the sensor(s) into uterine activity data signals for use by the maternal-fetal monitor. The sensor interface system of the invention preferably includes a conversion means for converting the signals from the sensor(s) into signals similar to those produced by a tocodynamometer.

Sensor interface system

An electrode interface system for providing a connection between at least one electrode and a maternal-fetal monitor, wherein the interface system converts electrical muscle activity captured by the electrode(s) into uterine activity data signals for use by the maternal-fetal monitor. The electrode interface system of the invention preferably includes a conversion means for converting the signals from the electrode(s) into signals similar to those produced by a tocodynometer.

Electrode interface system

A novel clinical decision support system (CDS) helps the clinician setup, maintain, and interpret esophageal pressure measurement. The esophageal pressure CDS (Pes CDS) would remind the clinician to do an occlusion test whenever the balloon is first inserted or changes dramatically. It could monitor the occlusion test and provide feedback on the performance and success of the occlusion test. Changes in the patient or monitored data can be tracked by looking for changes in the balloon baseline pressure, changes in the amplitude of the pressure waveform, or changes in the pattern of the Pes waveform. Having information from the ventilator will further increase the ability of the system to determine when Pes is changing unexpectedly.

Esophageal pressure clinical decision support system

Systems and methods for monitoring uterus contraction activity and progress of labor. The system of the subject invention can comprises (1) a plurality of sensors; (2) an amplifying/filtering means; (3) a computing means; and (4) a graphical user interface. Accurate clinical data, which can be extracted and provided to the user in real-time using the system of the invention, include without limitation, progress of labor, prediction and monitoring of preterm labor, and intrauterine pressure prediction. In a preferred embodiment, the system of the invention includes an intelligence means, such as a neural network system, to analyze and interpret clinical data for use in clinical diagnosis as well as delivery strategy.

System and method for analyzing progress of labor and preterm labor

A system and method for automated inspiratory muscle strength exercise includes software for setting a mechanical ventilator for a pressure regulated breath with an initial pressure target that is at the highest pressure setting a patient can tolerate and increasing the pressure target as tolerated.

Automated inspiratory muscle training for patients receiving mechanical ventilation

Methods for non-invasively and accurately estimating and monitoring resistance and work of breathing parameters from airway pressure and flow sensors attached to the ventilator-dependent patient using an adaptive mathematical model are provided. These methods are based on calculations using multiple parameters derived from the above-mentioned sensors. The resistance and work of breathing parameters are important for: assessing patient status and diagnosis, appropriately selecting treatment, assessing efficacy of treatment, and properly adjusting ventilatory support.

Methods and systems for monitoring resistance and work of breathing for ventilator-dependent patients

An electrode interface system for providing a connection between at least one electrode and a maternal-fetal monitor, wherein the interface system converts electrical muscle activity captured by the electrode(s) into uterine activity data signals for use by the maternal-fetal monitor. The electrode interface system of the invention preferably includes a signal converter for processing the signals from the electrode(s) into signals similar to those produced by a tocodynometer.

A system and method for monitoring a patient's compliance with a medication regimen includes an electronic tag integral with or attached to a medicine delivery device such as a capsule, the tag having an antenna and a receiver/transmitter, the system also including a reader positioned externally for detecting the presence and location of the delivery device in the patient.

Electronic medication compliance monitoring system and associated methods

A system and method of calculating an accurate estimate of pulmonary mechanics of a patient, including but not limited to compliance, resistance, and plateau pressure without modification of ventilator flow pattern. The accurate estimation of pulmonary mechanics is derived from airway pressure and flow sensors attached to the patient using novel mathematical models. These estimated figures for pulmonary mechanics (respiratory system compliance and resistance) are important for monitoring patient treatment efficacy during mechanical ventilation and ensuring alveoli do not over distend to avoid baro- and/or volutrauma, especially in patients with restrictive lung diseases. The subject method of calculating these accurate estimated figures for pulmonary mechanics is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

System and method for assessing real time pulmonary mechanics

A maternal-fetal monitoring system for use during all stages of pregnancy, including antepartum and intrapartum stages. The maternal-fetal monitoring system of the subject invention comprises (1) a set of sensors; (2) an amplifying/filtering means; (3) a computing means; and (4) a graphical user interface. Accurate clinical data, which can be extracted and provided to the user in real-time using the system of the invention, include without limitation, maternal electrocardiogram (ECG) signals, maternal uterine activity signals (EHG), maternal heart rate, fetal ECG signals, and fetal heart rate. In a preferred embodiment, the maternal-fetal monitoring system of the invention includes an intelligence means, such as a neural network system, to analyze and interpret clinical data for use in clinical diagnosis antepartum, intrapartum and postpartum, as well as delivery strategy.

Maternal-fetal monitoring system

The present invention relates to systems and methods for providing a short-acting analgesic agent in the management of pain during labor, wherein the system enables efficient, real-time prediction of contractions for the coordinated administration of analgesia such that the peak effectiveness of the analgesic coincides with the intermittent pain of labor.

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Gainesville, FL, United States of America

Neil Russell Euliano, Ii