Masimo Corporation

Apple Inc.

Michael O'Reilly

Massi Joe E Kiani

Ammar Al-Ali

Paul Ronald Jansen

Stephen Olivier Lemay

Lawrence Yuan Yang

Christopher Daryl Soli

Zachery Webster Kennedy

Dennis S Park

Nicholas Evan Barker

Anand Sampath

Daniel S Keen

Bilal Muhsin

Guy Leslie Tribble

Todd K Whitehurst

James H Foster

Kevin M Lynch

Anton M Davydov

Dylan Ross Edwards

Gregory B Novick

Donald Walter Pitschel

Aroon Pahwa

Jay Kriz Blahnik

Myra Mary Haggerty

Natalia Maric

Stephen J Waydo

Zachury Minjack

Stephanie M Greer

Divya Nag

Ian R Shapiro

Christopher J Brouse

Afshad M Mistri

Adam L Beberg

Christine M Eun

Joseph C McBride

Rebecca L Weber

Marcelo M Lamego

Eric Karl Kinast

Alejandro Garfio

James P Welch

Anmol Majmudar

Stacey F Lysik

Joseph C Mcbride

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

The present disclosure relates to aggregating and sharing wellness data. The wellness data can be received by a user device from any number of sensors external or internal to the user device, from a user manually entering the wellness data, or from other users or entities. The user device can securely store the wellness data on the user device and transmit the wellness data to be stored on a remote database. A user of the device can share some or all of the wellness data with friends, relatives, caregivers, healthcare providers, or the like. The user device can further display a user's wellness data in an aggregated view of different types of wellness data. Wellness data of other users can also be viewed if authorizations from those users have been received.

Wellness aggregator

A non-invasive electronic patient monitor tracks one or more physiological parameters of a patient, such as intravascular volume index (IVI), extravascular volume index (EVI), total hemoglobin (SpHb), impedance, and/or weight. The patient monitor determines if one or more of the physiological parameters are within a predetermined range. The patient monitor activates an alarm if one or more of the physiological parameters are outside the predetermined range and indicates a patient can be experiencing edema and/or heart failure, or sepsis.

Non-invasive intravascular volume index monitor

A modular patient monitor provides a multipurpose, scalable solution for various patient monitoring applications. In an embodiment, a modular patient monitor utilizes multiple wavelength optical sensor and/or acoustic sensor technologies to provide blood constituent monitoring and acoustic respiration monitoring (ARM) at its core, including pulse oximetry parameters and additional blood parameter measurements such as carboxyhemoglobin (HbCO) and methemoglobin (HbMet). Expansion modules provide blood pressure BP, blood glucose, ECG, CO2, depth of sedation and cerebral oximetry to name a few. Aspects of the present disclosure also include a transport dock for providing enhanced portability and functionally to handheld monitors. In an embodiment, the transport dock provides one or more docking interfaces for placing monitoring components in communication with other monitoring components. In an embodiment, the transport dock attaches to the modular patient monitor.

Modular patient monitor

This relates to methods for measuring irregularities in a signal and corresponding devices. The devices can include a PPG sensor unit configured to detect multiple occurrences of a given event in the measured signal(s) over a sampling interval. In some instances, the device can register the occurrences of the events. In some examples, the device can include one or more motion sensors configured to detect whether the device is in a low-motion state. The device may delay initiating measurements when the device is not in a low-motion state to enhance measurement accuracy. Examples of the disclosure further include resetting the sample procedure based on one or more factors such as the number of non-qualifying measurements. In some examples, the device can be configured to perform both primary and secondary measurements, where the primary measurements can include readings using a set of operating conditions different from the secondary measurements.

Detecting conditions using heart rate sensors

A non-invasive, optical-based physiological monitoring system is disclosed. In an embodiment, the non-invasive, optical-based physiological monitoring system comprises an emitter configured to emit light into a tissue site of a living patient; a detector configured to detect the emitted light after attenuation by the tissue site and output a sensor signal responsive to the detected light; and a processor configured to determine, based on the sensor signal, a first physiological parameter indicative of a level of pain of the patient.

Optical-based physiological monitoring system

This disclosure describes, among other features, systems and methods for using multiple physiological parameter inputs to determine multiparameter confidence in respiratory rate measurements. For example, a patient monitoring system can programmatically determine multiparameter confidence in respiratory rate measurements obtained from an acoustic sensor based at least partly on inputs obtained from other non-acoustic sensors or monitors. The patient monitoring system can output a multiparameter confidence indication reflective of the programmatically-determined multiparameter confidence. The multiparameter confidence indication can assist a clinician in determining whether or how to treat a patient based on the patient's respiratory rate.

System and method for monitoring respiratory rate measurements

Growing community of inventors

Dana Point, CA, United States of America

Michael O'Reilly