Valencell, Inc.

Yukka Magic LLC

Northrop Grumman Systems Corporation

Michael Edward Aumer

Steven Francis LeBoeuf

Jesse Berkley Tucker

Steven Matthew Just

Mark Andrew Felice

Lawrence Christopher Eschbach

Eric Douglas Romesburg

Wolfgang Wagner

Shawn Stephenson

William M Richey

Narsingh Bahadur Singh

Andre E Berghmans

Brian Paul Wagner

David A Kahler

David J Knuteson

Jonathan T Walter

Joseph Norman Morris

Tushar Dilip Tank

Lawrence Chris Eschbach

Rowland C Clarke

Darren Thomson

Seth Long

Robert Samuel Howell

Michael Manuel Fitelson

Marc Eisenzweig Sherwin

Thomas J Knight

Shawn M Stephenson

Sean R McLaughlin

Jerry W Hedrick

Mark S Usefara

Travis Randall

Ryan D Hodges

Manoj Patwardhan

Steven Francis Leboeuf

Brian P Wagner

Andre Berghmans

David Kahler

An optical sensor module includes a housing, first and second optical emitters within the housing, and an optical detector within the housing that is positioned between the first and second optical emitters. The housing includes respective first and second windows of optically transparent material that overlie the first and second optical emitters, and also includes a third window of optically transparent material that overlies the optical detector. The third window includes opposite first and second ends and opposite first and second sides, and at least one of the first and second sides is curved inwardly. Both of the first and second sides of the third window may be curved inwardly such that the third window has an hourglass shape.

Optical sensor modules with selective optical pathways

Methods and apparatus for monitoring a subject are described. A monitoring device configured to be attached to a body of a subject includes a sensor that is configured to detect and/or measure physiological information from the subject and at least one motion sensor configured to detect and/or measure subject motion information. The physiological sensor and motion sensor are in communication with a processor that is configured to receive and analyze signals produced by the physiological sensor and motion sensor. The processor is configured to process motion sensor signals to identify an activity characteristic of the subject. Once an activity characteristic is identified, the processor is configured to select a noise reference in response to identification of the activity characteristic of the subject, and then process physiological sensor signals using the noise reference to generate an output signal having reduced noise relative to the physiological sensor signal, to produce physiological information about the subject.

Physiological monitoring devices and methods for noise reduction in physiological signals based on subject activity type

Methods and apparatus are described for facilitating the extraction of cleaner biometric signals from biometric monitors. A motion reference signal is generated independently from a biometric signal and then the motion reference signal is used to remove motion artifacts from the biometric signal.

Methods and apparatus for detecting motion via optomechanics

A monitoring device configured to be attached to a subject includes a photoplethysmography (PPG) sensor configured to measure physiological information from the subject, and at least one processor configured to process signals from the PPG sensor to determine heart rate and RR-interval (RRi) for the subject, and to determine a heart rate pattern for the subject over a period of time. The at least one processor is configured to change a sampling frequency of the PPG sensor for determining RRi in response to the determined heart rate pattern. The at least one processor is configured to reduce the sampling frequency of the PPG sensor in response to determining a pattern of heart rate below a threshold.

Physiological monitoring devices and methods using optical sensors

A monitoring device configured to be attached to a subject includes a photoplethysmography (PPG) sensor configured to measure physiological information from the subject, a blood flow stimulator, and a processor configured to process signals from the PPG sensor to determine a confidence score of the signals. In response to a signal-to-noise level determination, the processor is configured to instruct the blood flow stimulator to increase blood perfusion at a location where the PPG sensor is attached to the subject. The confidence score is an indication of how strongly the signals can be trusted.

A method of presenting data from a remote sensor that is monitoring a subject includes obtaining a data stream from the remote sensor, wherein the data stream includes a sensor metric, a metric identifier, dynamically updated integrity information about an accuracy of the sensor metric, and a diagnostic assessment of a health condition of the subject, and then displaying, via a display associated with the client device, the diagnostic assessment of the health condition of the subject, a metric statistic associated with the diagnostic assessment, and a recommendation as to an action to be taken by the subject.

Methods, apparatus and systems for adaptable presentation of sensor data

A monitoring device configured to be attached to a body of a subject includes a physiological sensor configured to detect and/or measure physiological information from the subject, an activity sensor configured to sense physical activity information from the subject, an actuator configured to adjust stability of the monitoring device relative to the body of the subject, and a processor in communication with the activity sensor and the actuator. The processor is configured to process the physical activity information to detect a change in the physical activity of the subject and to control the at least one actuator to adjust the stability of the monitoring device relative to the body of the subject in response to detecting that a change in the physical activity of the subject has occurred.

Physiological monitoring devices with adjustable stability

A wearable device includes a housing with a window and an electronic module supported by the housing. The electronic module includes a photoplethysmography sensor, a motion sensor, and a signal processor that processes signals from the motion sensor and signals from the photoplethysmography sensor. The signal processor is configured to remove frequency bands from the photoplethysmography sensor signals that are outside of a range of interest using a band-pass filter to produce pre-conditioned signals, and to further process the pre-conditioned signals using the motion sensor signals to reduce motion artifacts from footsteps during subject running. The device includes non-air light transmissive material in optical communication with the photoplethysmography sensor and the window that serves as a light guide for the photoplethysmography sensor. The window optically exposes the photoplethysmography sensor to a body of a subject wearing the device via the non-air light transmissive material.

Wearable monitoring devices with passive and active filtering

A monitoring device configured to be attached to a body of a subject includes a sensor having at least one optical emitter and at least one optical detector, and a processor coupled to the sensor. The processor is configured to instruct the at least one optical emitter to emit a different wavelength of light into the body of the subject during each of a series of respective time intervals. The processor is configured to measure a respective different physiological parameter from signals produced by the at least one optical detector upon receiving light from the body of the subject during each of the respective time intervals.

A method of monitoring a subject via a photoplethysmography (PPG) sensor configured to detect and/or measure PPG information from the subject includes changing, via a processor, signal analysis frequency of the PPG sensor signals, optical wavelength emission of the PPG sensor, and/or PPG sensor interrogation power at predetermined times. Each predetermined time is associated with measuring at least one different biometric parameter from a plurality of biometric parameters.

Physiological monitoring devices with adjustable signal analysis and interrogation power and monitoring methods using same

Systems and methods for presenting sensor data are provided and include collecting physiological data and meta data from a subject via a sensor system, wherein the sensor system comprises a sensor element, a signal processor, and memory in communication with the signal processor. The subject meta data is processed by the signal processor to determine metric features, the metric features are processed by the signal processor to determine a subject-specific metric statistic for the subject, and the physiological data is processed by the signal processor to generate a sensor metric. The sensor metric is then presented for display via a display.

Methods and systems for adaptable presentation of sensor data

A wearable device for detecting and/or measuring physiological information from a subject includes a housing, at least one optical emitter supported by the housing, at least one optical detector supported by the housing, a first light guide supported by the housing, a second light guide supported by the housing, a motion sensor supported by the housing, and a processor supported by the housing. The processor is configured to calculate footsteps, distinguish footsteps from heart beats, and to remove footstep motion artifacts from signals produced by the at least one optical detector. Also, the processor is configured to process signals produced by the at least one optical detector to determine subject heart rate and to produce integrity data about the subject heart rate. The process is further configured to generate a multiplexed output serial data string comprising the subject heart rate and the integrity data.

Wearable devices for physiological monitoring

An ear-worn device includes a speaker, an optical emitter, an optical detector, a processor, and a housing configured to be positioned within an ear of a subject, wherein the housing encloses the speaker, optical emitter, optical detector, and processor. The housing includes at least one window that exposes the optical emitter and optical detector to the ear of the subject, and the housing includes at least one aperture through which sound from the speaker can pass. Light transmissive material is located between the optical emitter and the at least one window and is configured to deliver light emitted from the optical emitter to an ear region of the subject at one or more predetermined locations. Light transmissive material is positioned between the optical detector and the at least one window and is configured to collect light external to the housing and deliver the collected light to the optical detector.

Ear-worn devices for physiological monitoring

Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

Physiological monitoring apparatus and networks

A monitoring device configured to be attached to a subject includes a photoplethysmography (PPG) sensor configured to detect/measure physiological information from the subject, and a processor configured to process the physiological information to detect subject stress, and to determine an origin of the subject stress. The processor can determine the origin of the subject stress by increasing a sampling rate of the PPG sensor to collect higher acuity physiological information. The processor also can determine the origin of the subject stress by processing data from the PPG sensor to determine whether the subject is likely to have atrial fibrillation. In response to determining that the subject is likely to have atrial fibrillation, the processor can increase a frequency of pulsing of an optical emitter of the PPG sensor and/or increase a sampling rate of the PPG sensor to collect higher acuity data for diagnosing that atrial fibrillation is truly occurring.

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Raleigh, NC, United States of America

Michael Edward Aumer