Masimo Corporation

Cercacor Laboratories, Inc.

Willow Laboratories, Inc.

Masimo Laboratories, Inc.

Jeroen Poeze

Marcelo M Lamego

Cristiano Dalvi

Hung The Vo

Massi Joe E Kiani

Ferdyan Lesmana

Sean Merritt

Johannes Bruinsma

Greg A Olsen

Jesse Chen

Kevin Hughes Pauley

Gregory A Olsen

Ruiqi Long

Mathew Paul

Stephen L Monfre

Mohamed Kheir Diab

Abraham Mazda Kiani

Thomas B Blank

Venkatramanan Krishnamani

Don Sanders

Anthony Amir Davia

Frank Lee

Sai Kong Frank Lee

Ashish Patel

Derek Treese

Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.

Medical monitoring device for harmonizing physiological measurements

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 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 physiological test credit method determines if test credits are available to the monitor and checks if a Wi-Fi connection is available. If test credits are less than a test credit threshold, the monitor connects to a test credit server, processes server commands so as to download test credits and disconnects from the server. In various embodiments, the monitor is challenged to break a server code, the server is challenged to break a monitor code. The server validates monitor serial codes, and saves monitor configuration parameters.

Physiological test credit method

An optical physiological sensor configured to perform high speed spectral sweep analysis of sample tissue being measured to non-invasively predict an analyte level of a patient. An emitter of the optical physiological sensor can be regulated to operate at different temperatures to emit radiation at different wavelengths. Variation in emitter drive current, duty cycle, and forward voltage can also be used to cause the emitter to emit a range of wavelengths. Informative spectral data can be obtained during the sweeping of specific wavelength regions of sample tissue.

Non-invasive optical physiological differential pathlength sensor

A system which provides closed loop insulin administration is disclosed. The system includes redundant glucose sensors which may be interleaved in order to provide monitoring when one of the glucose sensors is in a settling period. The system may include a disease management unit which includes both a glucose sensor and an insulin pump. A closed loop disease management system which bases insulin administration on accurate glucose measurements may improve a patient's quality of life.

Method of operating redundant staggered disease management systems

The present disclosure includes a handheld processing device including medical applications for minimally and noninvasive glucose measurements. In an embodiment, the device creates a patient specific calibration using a measurement protocol of minimally invasive measurements and noninvasive measurements, eventually creating a patient specific noninvasive glucometer. Additionally, embodiments of the present disclosure provide for the processing device to execute medical applications and non-medical applications.

Handheld processing device including medical applications for minimally and non invasive glucose measurements

A noninvasive physiological sensor can include a first body portion and a second body portion coupled to each other and configured to at least partially enclose a user's finger. The sensor can further include a first probe coupled to one or more emitters and a second probe coupled to a detector. The first probe can direct light emitted from the one or more emitters toward tissue of the user's finger and the second probe can direct light attenuated through the tissue to the detector. The first and second probes can be coupled to the first and second body portions such that when the first and second body portions are rotated with respect to one another, ends of the first and second probes can be moved in a direction towards one another to compress the tissue of the user's finger.

Noninvasive physiological sensor

A monitoring device for measuring one or more physiological parameters of a medical patient can include a finger clip sensor connected to a monitor. A placement indicator helps the patient to properly position the sensor. The monitor can display a message alerting the patient to reposition the sensor. The device can delay measurement until the sensor is properly positioned.

Patient monitor placement indicator

The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

User-worn device for noninvasively measuring a physiological parameter of a user

Systems, methods, and apparatuses for enabling a plurality of non-invasive, physiological sensors to obtain physiological measurements from the same tissue site. Each of a plurality of sensors can be integrated with or attached to a multi-sensor apparatus. The multi-sensor apparatus can orient the plurality of non-invasive, physiological sensors such that each of the plurality of non-invasive, physiological sensors obtains physiological data from the same or a similar location.

Assembly for medical monitoring device with multiple physiological sensors

A sensor system has a low-noise sensor controller providing communications between an active-temperature-regulated optical sensor and an external monitor. A low-noise sensor controller drives optical emitters, receives resulting detected signals after attenuation by a blood perfused tissue site and communicates the detector signals to the attached signal processor. An optically-isolated controller front-end receives and digitizes the detected signals. A controller serializer transmits the digitized detector signal to the processor via a single, shielded coaxial cable.

Growing community of inventors

Rancho Santa Margarita, CA, United States of America

Jeroen Poeze