Masimo Corporation

Cercacor Laboratories, Inc.

Willow Laboratories, Inc.

Mathew Paul

Jesse Chen

Massi Joe E Kiani

Marcelo M Lamego

Jeroen Poeze

Hung The Vo

Kevin Hughes Pauley

Cristiano Dalvi

Sean Merritt

Ferdyan Lesmana

Thomas B Blank

Hoi Wong

An active-pulse blood analysis system has an optical sensor that illuminates a tissue site with multiple wavelengths of optical radiation and outputs sensor signals responsive to the optical radiation after attenuation by pulsatile blood flow within the tissue site. A monitor communicates with the sensor signals and is responsive to arterial pulses within a first bandwidth and active pulses within a second bandwidth so as to generate arterial pulse ratios and active pulse ratios according to the wavelengths. An arterial calibration curve relates the arterial pulse ratios to a first arterial oxygen saturation value and an active pulse calibration curve relates the active pulse ratios to a second arterial oxygen saturation value. Decision logic outputs one of the first and second arterial oxygen saturation values based upon perfusion and signal quality.

Active-pulse blood analysis system

A blood glucose sensing system includes a plurality of physiological sensors. The system can estimate blood glucose based on discrete invasive blood glucose estimates from a blood sample, discrete noninvasive blood glucose estimates derived from optical sensors, and continuously-calculated blood glucose estimates derived from a nonlinear state-space model of glucose and insulin reactions within a human body. The state-space model has user-entered values corresponding to their insulin and meal intake. The user's blood glucose is estimated from a combination of the discrete invasive blood glucose estimates, the discrete noninvasive blood glucose estimates and the continuously-calculated blood glucose estimate.

Blood glucose sensing system

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

The present disclosure describes example systems, methods, apparatuses, and medical devices for obtaining physiological parameter data from a wearable patient monitoring device. An example patient monitoring device can include an emitter and a detector. The emitter can emit light through tissue of a patient. The detector can sense the light after it passes through and is attenuated by the tissue and can generate a signal indicative of the sensed light. When the patient monitoring device is attached to or worn by the patient, the emitter and detector are aligned such that the light from the emitter travels through an opening between a first bone and a second bone of the patient prior to being sensed by the detector.

Limb-worn patient monitoring device

A system is disclosed for detecting and calculating the level of ambient and/or environmental noise, such as electromagnetic interference generated by electric power lines, ambient lights, light dimmers, television or computer displays, power supplies or transformers, and medical equipment. In some embodiments, the system performs frequency analysis on the interference signal detected by light photodetectors and determines the power of the interference signal concentrated in the analyzed frequency bands. The worst-case interference level can be determined by selecting the maximum from the computed power values. In some embodiments, the determined interference signal power can be compared with the noise tolerance of a patient monitoring system configured to reliably and noninvasively detect physiological parameters of a user. The results of the comparison can be presented to the user audio-visually. In some embodiments, the system can be used to perform spot check measurements of electromagnetic interference.

Interference detector for patient monitor

A blood glucose calibration system has a noninvasive sensor that attaches to a person's tissue site so as to generate multi-stream physiological data responsive to that person's blood constituents. Composite parameters, each in the form of a mathematical combination of invasive blood panel parameters, are derived from a general population and are responsive to the multi-stream physiological data. A population-based, blood glucose estimate for that person is derived from a weighted and scaled combination of these composite parameters. An individualized blood glucose estimate is then derived from the population-based blood glucose estimate and intermittent invasive test strip measurements of that particular individual.

Blood glucose calibration system

A system is disclosed for detecting and calculating the level of ambient and/or environmental noise, such as electromagnetic interference generated by electric power lines, ambient lights, light dimmers, television or computer displays, power supplies or transformers, and medical equipment. In some embodiments, the system performs frequency analysis on the interference signal detected by light photodetectors and determines the power of the interference signal concentrated in the analyzed frequency bands. The worst-case interference level can be determined by selecting the maximum from the computed power values. In some embodiments, the determined interference signal power can be compared with the noise tolerance of a patient monitoring system configured to reliably and non-invasively detect physiological parameters of a user. The results of the comparison can be presented to the user audio-visually. In some embodiments, the system can be used to perform spot check measurements of electromagnetic interference.

Growing community of inventors

Irvine, CA, United States of America

Mathew Paul