Francesco C Vicario

20210386948, Dec 16, 2021

May 11, 2021

17/317031

- EINDHOVEN, NL
PABLO ANDRES Ñañez Ojeda - MONROEVILLE PA, US
FRANCESCO VICARIO - BOSTON MA, US
MICHAEL POLKEY - MONROEVILLE PA, US
NIKOLAOS KARAMOLEGKOS - BOSTON MA, US

A61M 16/00
A61M 16/10

A method for controlling a ventilator to provide variable volume (VV) with average volume assured pressure support (AVAPS), including: producing a VV target volume using a VV distribution function; producing a volume error Verror that is the difference between the VV target volume and a measured volume of the previous breath; scaling the volume error Verror; producing a VV target difference as the difference between VV target volume and the VV target volume of the previous breath; producing a modified volume error by adding the VV target difference to the scaled volume error Verror; producing a delta pressure support ΔPS based upon the modified volume error and a dynamic compliance; and producing a current pressure support value based upon the delta pressure support ΔPS and the pressure support value of the previous breath.

20210225489, Jul 22, 2021

Nov 9, 2020

17/092388

- EINDHOVEN, NL
Francesco Vicario - Cambridge MA, US
Nikolaos Karamolegkos - Cambridge MA, US
HAIBO WANG - CAMBRIDGE MA, US

G16H 20/40
G16H 40/63

The invention discloses a computer-implemented method for monitoring an intubated patient (), the method comprising receiving, from one or more sensors () associated with the intubated patient, data relating to the intubated patient; determining a likelihood of self-extubation by the intubated patient based on the received data; and responsive to determining that the likelihood of self-extubation is greater than a defined threshold, generating an alert signal.

20210146082, May 20, 2021

Oct 15, 2020

17/071312

- EINDHOVEN, NL
Francesco Vicario - Boston MA, US
Venkata Srikanth Nallanthighal - Eindhoven, NL

A61M 16/00
G10L 15/16
G10L 15/06

In an embodiment, a method is described. The method comprises obtaining an indication of a speech pattern of a subject and using the indication to determine a predicted time of inspiration by the subject. A machine learning model is used for predicting the relationship between the speech pattern and a breathing pattern of the subject. The machine learning model can then be used to determine the predicted time of inspiration by the subject. The method further comprises controlling delivery of gas to the subject based on the predicted time of inspiration by the subject.

20210138170, May 13, 2021

Sep 16, 2020

17/022548

- EINDHOVEN, NL
Francesco Vicario - Boston MA, US
Cornelis Conradus Adrianus Maria van Zon - Everett MA, US
Haibo Wang - Melrose MA, US

A61M 16/00
A61M 16/04

A system configured to monitor a patient undergoing an oxygen therapy includes a housing configured to be connected to a patient interface that delivers the oxygen therapy to the patient; a plurality of sensors disposed in or on the housing and configured to generate output signals conveying information about one or more patient/system interaction attributes associated with the oxygen therapy; and a computer system that comprises one or more physical processors operatively connected with the plurality of sensors, the physical processors being programmed with computer program instructions which, when executed cause the computer system to: determine the one or more patient/system interaction attributes associated with the oxygen therapy based on the information in the output signals; and generate output information for communication to the patient and/or a caregiver based on the output signals.

20200121877, Apr 23, 2020

Jan 12, 2018

16/478022

- EINDHOVEN, NL
FRANCESCO VICARIO - BOSTON MA, US
CAITLYN MARIE CHIOFOLO - NEW HYDE PARK NY, US
NICOLAS WADIH CHBAT - WHITE PLAINS NY, US
FERNANDO JOSE ISAZA - CARLSBAD CA, US
SMITA GARDE - IRVINE CA, US
DANIEL VAN HISE - DOVER NH, US
ADAM JACOB SEIVER - LOS ALTOS HILLS CA, US

A61M 16/00
A61M 16/20
A61M 15/00
G06F 17/18

A ventilation device includes a mechanical ventilator (), respiratory sensors () configured to acquire measurements of respiratory variables including at least measurements of airway pressure and airway flow, and an electronic processor () programmed to perform a ventilation method including: operating the mechanical ventilator to provide mechanical ventilation controlled using measurements acquired by the respiratory sensors; performing a pause maneuver comprising closing at least one of an inhalation valve () and an exhalation valve () for a pause interval and estimating a respiratory mechanics index from one or more respiratory system parameters estimated from measurements acquired by the respiratory sensors during or after the pause interval; and triggering a pause maneuver in response to detecting a change in the estimated respiratory mechanics index.

20200038610, Feb 6, 2020

Dec 20, 2017

16/471135

- Eindhoven, NL
Francesco VICARIO - BOSTON MA, US

A61M 16/00
A61B 5/08

A system for determining a parameter of respiratory mechanics in the presence of an intrinsic positive end-expiratory pressure during a ventilator support of a patient is provided. The system includes a computer system that comprises one or more in physical processors programmed with computer program instructions which, when executed cause the computer system to: determine breath segmentation data from airway flow information of the patient and airway pressure information of the patient; and determine the parameter of respiratory mechanics in the presence of the intrinsic positive end-expiratory pressure using the determined breath segmentation data. The parameter of respiratory mechanics includes one or more of the following: respiratory resistance, respiratory elastance, respiratory compliance, the intrinsic positive end-expiratory pressure, a pressure inside the alveoli, and an equivalent pressure generated by the respiratory muscles of the patient.

20190254566, Aug 22, 2019

Oct 23, 2017

16/345398

- EINDHOVEN, NL
ROBERTO BUIZZA - MALDEN MA, US
FRANCESCO VICARIO - BOSTON MA, US

A61B 5/085
A61B 5/03
A61M 16/00
A61B 5/087

When estimating respiratory muscle pressure and respiratory mechanics using a P0maneuver patient inspiration onset for a patient connected to a ventilator () is detected, and the airway of the patient is occluded for a first predetermined time period. A first respiratory muscle pressure (P) profile is estimated during the airway occlusion. Resistance (R) and compliance (C) values and a second Pprofile generated during a second predetermined time period are then estimated. A third Pprofile is estimated during a third predetermined time period that extends from the end of the second predetermined time period until the end of inspiration. P(t) over an entire breath is estimated by concatenating the first, second and third Pprofiles, and the estimated R and C values and the estimated Pprofiles are output on a display.

20180317808, Nov 8, 2018

Oct 25, 2016

15/772982

- EINDHOVEN, NL
FRANCESCO VICARIO - BOSTON MA, US
ANTONIO ALBANESE - NEW YORK NY, US
NIKOLAOS KARAMOLEGKOS - NEW YORK NY, US
NICOLAS WADIH CHBAT - WHITE PLAINS NY, US
LIMEI CHENG - IRVINE CA, US

A61B 5/08
A61B 5/00
A61M 16/00
A61B 5/085

In respiratory monitoring, a breathing cycle detector () detects a breath interval in airway pressure and/or flow data. A respiratory parameters estimator and validator () asynchronously fits the airway pressure and airway flow data to an equation of motion of the lungs relating airway pressure and airway flow to generate asynchronously estimated respiratory parameters for the breath interval, using a sliding time window that is not synchronized with the breath interval. The asynchronously estimated respiratory parameters for the breath interval are validated using at least one physiological plausibility criterion defined with respect to the breath interval. Responsive to failure of the validation, the airway pressure and airway flow data are synchronously fitted to the equation of motion of the lungs to generate synchronously estimated respiratory parameters for the breath interval. The synchronous fitting is performed in a time window aligned with the breath interval.