Andrea Gabrielli

7178519, Feb 20, 2007

Nov 21, 2002

10/301501

Richard Melker - Gainesville FL, US
Dietrich Gravenstein - Gainesville FL, US
Andrea Gabrielli - Gainesville FL, US

University of Florida Research Foundation, Inc. - Gainesville FL

A61M 16/00

12820026, 12820714

A novel connection device, and method for its use, for connecting a volume displacement detection device and a gas composition detection device in line with an intubation tube is disclosed. The connection device allows a user to combine two systems commonly employed by medical personnel to assess the location of an intubation tube placed into a patient. The two systems have alternate means of assessing the location of an intubation tube in a patient and therefore, when combined into a single unit via the connection device, improve the accuracy of placing a tube in a desired location while reducing or eliminating complications associated with misplacement. A kit comprising components that may be assembled to provide a device for assessing the proper placement of an intubation tube in a patient is also disclosed. The kit may be used in any environment, but is particularly well suited for emergency, pre-hospital settings requiring intubation where quick assembly of the components is essential.

8307827, Nov 13, 2012

Mar 10, 2009

12/401500

Anatole D. Martin - Gainesville FL, US
Michael J. Banner - Alachua FL, US
Andrea Gabrielli - Gainesville FL, US

University of Florida Research Foundation, Inc. - Gainesville FL

A62B 7/00

12820423, 12820024, 12820421

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.

8464713, Jun 18, 2013

Jul 24, 2012

13/556546

Anatole D. Martin - Gainesville FL, US
Michael J. Banner - Alachua FL, US
Andrea Gabrielli - Gainesville FL, US

University of Florida Research Foundation, Inc. - Gainesville FL

A62B 7/00

12820423, 12820024, 12820421

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.

20120330177, Dec 27, 2012

Dec 28, 2010

13/260467

Nawar Nazar Yousif Al-Rawas - Gainesville FL, US
Andrea Gabrielli - Gainesville FL, US
Neil Russell Euliano - Gainesville FL, US
Michael Joseph Banner - Alachua FL, US

A61B 5/085
A61M 16/00
A61B 5/03

600533

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.

20130276787, Oct 24, 2013

Jun 17, 2013

13/919310

MICHAEL J. BANNER - ALACHUA FL, US
ANDREA GABRIELLI - GAINESVILLE FL, US

A61M 16/00
A61M 16/20

12820423

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.

63224984, Nov 27, 2001

Jan 16, 1998

9/007939

Dietrich Gravenstein - Gainesville FL
Samsun Lampotang - Gainesville FL
Richard Melker - Gainesville FL
Andrea Gabrielli - Gainesville FL

University of Florida - Gainesville FL

A61B 1267

600120

The subject invention pertains to a system for imaging the human airway having highly advantageous optical, mechanical, ergonomical and physical characteristics. In a specific embodiment, the human airway can be imaged during the intubation procedure. The subject imaging scopes can incorporate a malleable stylet which retains its shape when bent, in order to facilitate intubation of a patient. In a preferred embodiment, a solid metal stylet, for example, a conventional endotracheal tube stylet, can be utilized. In a specific embodiment the subject intubation scope allows for a user to utilize conventional techniques for the insertion of an endotracheal tube, reducing the training needed for use of the subject intubation scope. Preferably, the subject imaging scopes also incorporate at least one illumination fiber to convey light to the distal tip of the subject imaging scopes, for illumination of the objects to be imaged.

20190192797, Jun 27, 2019

Mar 4, 2019

16/291516

- Gainesville FL, US
Michael J. BANNER - Alachua FL, US
Andrea GABRIELLI - Gainesville FL, US

A61M 16/00
A61B 5/00
A61M 16/20
A61B 5/087

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.

20140276173, Sep 18, 2014

Mar 5, 2014

14/197486

Michael J. BANNER - Alachua FL, US
Neil Russel EULIANO - Gainesville FL, US
Andrea GABRIELLI - Gainesville FL, US
Nawar Nazar Yousif AL-RAWAS - Gainesville FL, US

Convergent Engineering, Inc. - Newberry FL
University of Florida Research Foundation Incorporated - Gainesville FL

A61B 5/085
A61M 16/04
A61B 5/00
A61B 5/097
A61M 16/00
A61B 5/087
A61M 16/08

600533, 12820423

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.