University of Florida Research Foundation, Incorporated

Convergent Engineering, Inc.

Other

Beta Biomed Services, Inc.

Michael Joseph Banner

Paul Bradford Blanch

Neil R Euliano

Neil Russell Euliano, Ii

Richard Joel Melker

Samsun Lampotang

Andrea Gabrielli

Jose Carlos Principe

Victor L Brennan

Ronald G Carovano

Anatole D Martin

Nikolaus Gravenstein

Joachim S Gravenstein

Dietrich Gravenstein

Nawar Nazar Yousif Al-Rawas

Johannes Hugo Van Oostrom

George E Worley

Jeffrey W Skimming

Brian S Fuehrlein

Neil Russell Euliano

Nawar Nazar Al-Rawas

Neil Russell Ii Euliano

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

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

Disclosed herein are methods and devices of obtaining plethysmograph readings and utilizing plethysomography to identify when pilots are about to experience GLOC. Furthermore, in other embodiments, the invention pertains to methods and devices designed to warn a pilot that he/she is about to enter GLOC and/or automatically averting catastrophic damage or injuries by directing a plane being piloted to take predetermined corrective actions. Specifically disclosed is a system embodiment for assisting in the prevention of gravity induced loss of consciousness. The system comprises at least one pulse oximeter probeconfigured for securing to a central source site of a pilot and to generate signals indicative of blood flow at said central source site, an analyzer unitcommunicatingly connected to said at least one pulse oximeter probe, said analyzer unit comprising at least one processing moduleconfigured to determine whether said blood flow is approaching a predefined level, and an aircraft computercommunicatingly connected to said analyzer unit, said aircraft computercomprising at least one processing moduleconfigured to effect a predetermined reaction responsive to said blood flow falling below a predetermined level.

Methods and devices for countering grativity induced loss of consciousness and novel pulse oximeter probes

A method of creating a noninvasive predictor of both physiologic and imposed patient effort of breathing from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this noninvasive predictor is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

Method and apparatus for predicting work of breathing

A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or nonlinear calculations using multiple parameters derived from the above-mentioned sensors.

Embodiments of the present invention described and shown in the specification and drawings include a system and method for monitoring the ventilation support provided by a ventilator and automatically supplying a breathing gas to a patient via a breathing circuit that is in fluid communication with the lungs of the patient.

Medical ventilator and method of controlling same

A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

Embodiments of the present invention described and shown in the specification and drawings include a system and method for monitoring the ventilation support provided by a ventilator that is supplying a breathing gas to a patient via a breathing circuit that is in fluid communication with the lungs of the patient.

Ventilator monitor system and method of using same

A method and apparatus for operating a ventilator in a primary electronic mode or in a back-up pneumatic mode during primary electronic mode failure. A method and apparatus for operating a ventilator in an advanced mode, having a number of ventilatory modes, or in a basic mode, having a limited number of ventilatory modes is also disclosed.

Hybrid microprocessor controlled ventilator unit

An endotracheal tube pressure monitoring system for an endotracheal tube having at least pressure sensor in communication with a major lumen of the endotracheal tube, and a pressure monitoring subsystem in operative communication with the pressure sensor. The system may also have at least one fluid pressure line in fluid communication with the major lumen and in operative communication with the pressure monitoring subsystem to monitor the pressure of fluid within each respective fluid pressure line, and a purging subsystem in fluid communication with the fluid pressure line. Each fluid pressure line that is in fluid communication with the purging subsystem being selectively purged by the purging subsystem when pressure monitoring subsystem determines the respective pressure line has become obstructed. Purging the fluid pressure line maintains the patency of the pressure line so that accurate pressure measurements within the endotracheal tube can be obtained for calculation of parameters in lung mechanics. It is emphasized that this abstract is provided to comply with the rules requiring an abstract which will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. 37 C.F.R. &#xa7;1.72(b).

Growing community of inventors

Alachua, FL, United States of America

Michael Joseph Banner