Edwards Lifesciences Corporation

Other

Becton Dickinson and Company Limited

Feras Al Hatib

Zhongping Jian

Sai Prasad Buddi

Brian Ray Hipszer

Peter James Ifft

Hengchu Cao

Nitish V Thakor

Mark A Konno

Rachel Smith

David H Sherman

Lindon Alford Baker

Peiyuan Li

Luong N Phan

Santosh Venkatesha

Morgan T McKeown

Richard A Gros

Anastasios Bezerianos

Hasan Al-Nashash

Joseph Paul

Geertruida Lucretia Van Der Sar

Shanbao Tong

Sakyasingh Tripathy

Cole Emerson Feagler

Jacobus J G M Settels

Andrew Marino

Brennan Michael Schneider

Rachel June Smith

Described herein are thermal mass flow sensors that combine calorimetric and anemometric (e.g., hot-wire) elements to provide a hybrid approach to determining flow rate of a liquid. The flow probes or flow sensors are configured to use a heater to apply heat to a thermally-conducting material in contact with the flowing liquid, to measure a temperature of the thermally-conducting material upstream of the heater and downstream or at the heater, to adjust power to the heater to achieve a targeted temperature difference, and to determine a flow rate based at least in part on the power supplied to the heater and the measured temperatures. This approach provides flow rate due at least in part to the fluid cooling the thermally-conductive material proportionate to flow rate with non-linear effects. This hybrid approach can provide accurate readings of flow rates of liquids delivered through an IV line to a patient.

Thermal mass fluid flow sensor

A system for monitoring arterial pressure of a patient determines a score that is predictive of responsiveness of the patient to a therapy. Sensed hemodynamic data representative of an arterial pressure waveform of the patient are received by a hemodynamic monitor. Magnitude data and trend data are derived from the hemodynamic data. The score that is predictive of the responsiveness of the patient to the therapy is determined based on the magnitude data and the trend data of the hemodynamic parameter. A representation of the score is output.

Therapy scoring for hemodynamic conditions

A system having a processor obtain a digital hemodynamic data from a hemodynamic sensor, obtain one or more vital sign parameters characterizing vital sign data from the digital hemodynamic data, derive differential parameters based on the one or more vital sign parameters, generate combinatorial parameters using the one or more vital sign parameters and the differential parameters, determine a risk score corresponding to a probability of a future hypotension event for the living subject based on a weighted combination of a plurality of hypotension profiling parameters including the one or more vital sign parameters characterizing vital sign data, the differential parameters and the combinatorial parameters, and invoke a sensory alarm if the risk score satisfies a predetermined risk criterion.

Predictive weighting of hypotension profiling parameters

A health monitoring unit includes a hardware processor, a memory, a display, and a graphical user interface (GUI) stored in the memory. The GUI is executed by the processor to provide a selection screen enabling a user to select parameters for viewing on the display from among health parameters of a living subject being tracked by the health monitoring unit. The GUI also presents a main screen showing the parameters selected by the user, the main screen including an icon for communicating a hypotension probability index (HPI) status of the living subject. In addition, the GUI overlays an alarm screen as a pop-up on the display if the HPI of the living subject satisfies a predetermined risk criteria, and enables the user to access an HPI diagnostic screen showing values for a subset of the health parameters identified as predictive of a future hypotension event for the living subject.

Health monitoring unit with hypotension predictive graphical user interface (GUI)

There are provided systems and methods for performing mean arterial pressure (MAP) derived prediction of future hypotension. Such a system includes a hardware unit including a hardware processor and a system memory, a hypotension prediction software code stored in the system memory, and a sensory alarm. The hardware processor is configured to execute the hypotension prediction software code to receive MAP data of the living subject, and to transform the MAP data to one or more parameters predictive of a future hypotension event of the living subject. The hardware processor is further configured to execute the hypotension prediction software code to determine a risk score of the living subject corresponding to the probability of the future hypotension event based on at least some of the one or more parameters, and to invoke the sensory alarm if the risk score of the living subject satisfies a predetermined risk criteria.

Mean arterial pressure (MAP) derived prediction of future hypotension

The present disclosure provides systems that include a flow probe that senses fluid flow or mass flow of fluid delivery to a patient. Based at least in part on the sensed fluid or mass flow, the flow probe provides flow-related data (e.g., volume or mass flow rate) that the system uses to derive a volume of fluid being delivered. The fluid can be delivered from an IV bag, another in-line port, or a combination of the two. The disclosed systems provide fluid volume and/or fluid rate for display to a clinician and an informative understanding of what volume of fluid/mass a patient has received.

Fluid bolus detection

Embodiments of the disclosure are directed to methods, apparatuses, and computer program products for determining a hemodynamic parameter. An exemplary method comprises: receiving data associated with at least one heart beat; calculating a first standard deviation for at least a portion of the data; interpolating a second standard deviation for at least a second portion of the data; and determining the hemodynamic parameter based on the first standard deviation and the second standard deviation.

Determination of a hemodynamic parameter

Disclosed is an apparatus, system, and method for utilizing a pressure transducer simulator that is configured for use with a pressure sensor device and a patient monitoring device. The pressure transducer simulator may be configured to generate a simulation of the output of an analog pressure sensing device to be compatible with the patient monitoring device. The simulation may be based upon a pressure signal received from the pressure sensor device. In one embodiment, the pressure transducer simulator includes a digital potentiometer that is configured to generate an analog signal based upon the pressure signal received from the pressure sensor device and wherein the digital potentiometer is configured to transmit the analog signal to the patient monitoring device.

Method and apparatus for simulation of pressure transducer for measurement of blood pressure

Embodiments include methods and apparatus for determining whether a neurological event has occurred in a subject. An apparatus includes at least one sensor adapted to sense electroencephalogram signals from the subject. The apparatus also includes an electroencephalogram acquisition module adapted to receive the electroencephalogram signals from at least one sensor, and a processing and analysis module adapted to receive signals from the electroencephalogram acquisition module and determine changes in neurological function using entropy analysis.

Apparatus and methods for brain rhythm analysis

Growing community of inventors

Irvine, CA, United States of America

Feras Al Hatib