Masimo Corporation

Cercacor Laboratories, Inc.

Masimo Laboratories, Inc.

Willow Laboratories, Inc.

Other

Jpmorgan Chase Bank, National Association

Masimo Semiconductor, Inc.

Carcacor Laboratories, Inc.

Massi Joe E Kiani

Ammar Al-Ali

Marcelo M Lamego

Cristiano Dalvi

Hung The Vo

Jeroen Poeze

Mohamed Kheir Diab

Sean Merritt

Ferdyan Lesmana

Bilal Muhsin

Johannes Bruinsma

Greg A Olsen

Walter M Weber

Nicholas Evan Barker

Chad A DeJong

Jerome Novak

Michael O'Reilly

Anand Sampath

David R Tobler

Robert A Smith

Keith Ward Indorf

Omar Ahmed

Gregory A Olsen

Abraham Mazda Kiani

Jesse Chen

Sujin Hwang

Robert James Kopotic

Ammar Al Ali

Peter Scott Housel

Mathew Paul

James M Lepper, Jr

Michael Petterson

John Graybeal

David Dalke

Julian M Goldman

Michael Lee

Paul Ronald Jansen

Charles Robert Ragsdale

Don Carothers

Val E Vaden

Ronald Coverston

Steve L Cebada

Mohammad Usman

Divya Srinivasan Breed

Kirby Clark Dotson

Roger Wu

Yassir Kamel Abdul-Hafiz

Kevin Hughes Pauley

Rick Fishel

Nadeesha O Ranasinghe

Bowen Zhao

Pierre De Malliard

Peter Sunghwan Min

Chris Kilpatrick

Ken Lam

Philip Perea

Sebastian T Frey

Rex J McCarthy

Eric Karl Kinast

Ibrahim M Elfadel

Steve Coon

Valery G Telfort

Thomas J Gerhardt

Benjamin C Triman

Steven Egge

Gene Mason

Thomas B Blank

Venkatramanan Krishnamani

Don Sanders

Anthony Amir Davia

Fred Robertson

Eugene E Mason

Alejandro Garfio

Sung Uk Lee

Dimitar Dimitrov

James P Welch

Phi Trang

Mike A Mills

Steven J Wojtczuk

Faisal Mahmood Kashif

Michael A Mills

Ruiqi Long

Christian Schulz

Richard Priddell

Sai Kong Frank Lee

James P Coffin, Iv

Stephen L Monfre

Atiyeh Ghoreyshi

Garrick Maurer

Chris Schulz

Brad M Siskavich

Hoi Wong

Don Crothers

Eugene M Mason

Peter Koo

Derek Treese

Tao Leopold Levy

A first medical device can receive a physiological parameter value from a second medical device. The second physiological parameter value may be formatted according to a protocol not used by the first medical device such that the first medical device is not able to process the second physiological parameter value to produce a displayable output value. The first medical device can pass the physiological parameter data from the first medical device to a separate translation module and receive translated parameter data from the translation module at the first medical device. The translated parameter data can be processed for display by the first medical device. The first medical device can output a value from the translated parameter data for display on the first medical device or an auxiliary device.

System for displaying medical monitoring data

A physiological parameter system has one or more parameter inputs responsive to one or more physiological sensors. The physiological parameter system may also have quality indicators relating to confidence in the parameter inputs. A processor is adapted to combine the parameter inputs, quality indicators and predetermined limits for the parameters inputs and quality indicators so as to generate alarm outputs or control outputs or both.

Physiological parameter system

A wearable device including at least one sensor configured to sense a physiological parameter of a user. The wearable device including a base housing and a removable housing attachable to the base housing. The base housing and the removable housing portions each including a battery and an electronic subsystem in communication with each other. The battery of the removable housing portion charges the battery of the base housing portion when the removable housing portion is attached to the base housing portion. A second embodiment includes two or more fitness trackers each having an enclosure. The enclosures of the two or more fitness trackers having complimentary shapes that form a unified enclosure when the enclosures are placed adjacently. In a third embodiment, a wearable device includes a first screen display and a second screen display. The second screen display is transparent in at least one operational mode of the wearable device.

Wearable physiological monitoring devices

A cloud-based physiological monitoring system has a sensor in communications with a living being so as to generate a data stream generally responsive to a physiological condition of the living being. A monitor receives the data stream from the sensor and transmits the data stream to a cloud server. The cloud server processes the data stream so as to derive physiological parameters having values responsive to the physiological condition. The cloud server derives a medical index based upon a combination of the physiological parameters. The cloud server communicates the medical index to the monitor, which displays the medical index.

Cloud-based physiological monitoring system

A monitoring system can be configured to monitor activities or actions occurring in clinical settings, such as hospitals. The monitoring system can improve patient safety. The system can use visual and/or other tracking methods. The system can detect and/or identify people in a clinical setting. The system can also track activities of the people, for example, to improve adherence to hygiene protocols.

System and method for monitoring clinical activities

The present disclosure includes a medical monitoring hub as the center of monitoring for a monitored patient. The hub includes configurable medical ports and serial ports for communicating with other medical devices in the patient's proximity. Moreover, the hub communicates with a portable patient monitor. The monitor, when docked with the hub provides display graphics different from when undocked, the display graphics including anatomical information. The hub assembles the often vast amount of electronic medical data, associates it with the monitored patient, and in some embodiments, communicates the data to the patient's medical records.

Medical monitoring hub

The present disclosure describes embodiments of a patient monitoring system and methods that include the measure and display of hemoglobin statistics. In an embodiment, total hemoglobin trending is displayed over a period of time. Statistics can include frequency domain analysis, which may be unique for each patient monitored. The total hemoglobin trending and/or statistics can further be used to help control the treatment of a patient, such as being used to control IV administration.

Hemoglobin display and patient treatment

A multi-parameter patient monitoring device rack can dock a plurality of patient monitor modules and can communicate with a separate display unit. A signal processing unit can be incorporated into the device rack. A graphics processing unit can be attached to the display unit. The device rack and the graphic display unit can have improved heat dissipation and drip-proof features. The multi-parameter patient monitoring device rack can provide interchangeability and versatility to a multi-parameter patient monitoring system by allowing use of different display units and monitoring of different combinations of parameters. A dual-use patient monitor module can have its own display unit configured for displaying one or more parameters when used as a stand-alone device, and can be docked into the device rack when a handle on the module is folded down.

Modular multi-parameter patient monitoring device

A method of determining blood pressure measurements includes inflating a cuff, receiving an indication of pressure inside the cuff during inflation, determining a blood pressure based at least in part on the received indication, assigning a confidence level to the blood pressure, and determining whether the confidence level satisfies a threshold confidence level. Based at least on a determination that the confidence level satisfies a threshold confidence level, the method can include causing a display to display the blood pressure. Based at least on a determination that the confidence level does not satisfy a threshold confidence level, the method can include deflating the cuff, receiving an indication of pressure inside the cuff during deflation, determining another blood pressure, and causing a display to display a blood pressure.

Patient monitoring system

A blood pressure measurement system is provided that includes an inflatable cuff, a valve assembly and chamber assembly. The chamber assembly can house a gas canister for providing gas to the inflatable cuff. The valve assembly can include a valve having a high pressure cavity, a low pressure cavity, and a channel providing a gas pathway between the high pressure cavity and the low pressure cavity. The valve assembly can further include a channel cover and spring in the high pressure cavity. The spring can exert a force on the channel cover to create a seal between the high pressure cavity and the channel. The valve assembly can further include a rod extending through the channel and exerting a force on the channel cover to create a gas pathway between the high pressure cavity and the channel.

Systems and methods for measuring blood pressure

A system for operating third party proprietary software on a medical monitoring device operating native proprietary software and a system for obtaining compatible third party proprietary software for operation on the monitoring device.

Universal medical system

Embodiments of the present disclosure include a handheld multi-parameter patient monitor capable of determining multiple physiological parameters from the output of a light sensitive detector capable of detecting light attenuated by body tissue. For example, in an embodiment, the monitor is capable of advantageously and accurately displaying one or more of pulse rate, plethysmograph data, perfusion quality, signal confidence, and values of blood constituents in body tissue, including for example, arterial carbon monoxide saturation ('HbCO'), methemoglobin saturation (“HbMet”), total hemoglobin (“Hbt”), arterial oxygen saturation (“SpO2”), fractional arterial oxygen saturation (“SpaO2”), or the like. In an embodiment, the monitor displays a line associated with a patient wellness level.

Noninvasive multi-parameter patient monitor

Systems and methods for improving reimbursement rates from payors for services or procedures provided by a medical care provider are disclosed herein. In some examples, reimbursement can be improved by improving the accuracy of medical coding of services and diagnosis codes through the use of machine learning techniques. In some examples, the system can suggest codes more likely to get reimbursed by a payor through analysis of patient data and/or insurance information. In some examples, the system can determine a likelihood of reimbursement through analysis of patient data and/or insurance information.

Automated medical coding

A physiological patient monitoring system with a patient-facing interface is disclosed. The patient interface can be used by the patient to communicate with hospital staff without actually requesting attendance and can request attendance for specific purposes. The patient interface may also track patient treatment and inform patients of the details of their treatments.

Display layout and interactive objects for patient monitoring

Growing community of inventors

Laguna Niguel, CA, United States of America

Massi Joe E Kiani