Abstract: A monitoring apparatus includes a housing that is configured to be attached to a body of a subject. The housing includes a sensor region that is configured to contact a selected area of the body of the subject when the housing is attached to the body of the subject. The sensor region is contoured to matingly engage the selected body area. The apparatus includes at least one physiological sensor that is associated with the sensor region and that detects and/or measures physiological information from the subject and/or at least one environmental sensor associated with the sensor region that is configured to detect and/or measure environmental information. The sensor region contour stabilizes the physiological and/or environmental sensor(s) relative to the selected body area such that subject motion does not impact detection and/or measurement efforts of the sensor(s).

Abstract: An optical sensor module for detecting and/or measuring physiological information that can be integrated into a wearable device, such as a headset, a wristband, a ring, etc., includes a housing supporting an optical source and an optical detector. The housing overlies the optical source and optical detector and includes a first light guide comprising light transmissive material in optical communication with the optical source and a second light guide comprising light transmissive material in optical communication with the optical detector. The first and second light guides define respective first and second axial directions that are outwardly diverging. When the sensor module is in use and placed adjacent the skin of a user, light rays emanating from the optical source and directed into the skin of the user cannot overlap with light rays returning through the skin of the user.

Abstract: A physiological signal processing system for a physiological waveform that includes a cardiovascular signal component provides a variable high pass filter that is responsive to the physiological waveform, and that is configured to high pass filter the physiological waveform in response to a corner frequency that is applied. A heart rate metric extractor is responsive to the variable high pass filter and is configured to extract a heart rate metric from the physiological waveform that is high pass filtered. A corner frequency adjuster is responsive to the heart rate metric extractor and is configured to determine the corner frequency that is applied to the variable high pass filter, based on the heart rate metric that was extracted. Analogous methods may also be provided.

Abstract: A wearable biometric monitoring device includes a physiological sensor configured to detect and/or measure physiological information from a subject wearing the device, a motion sensor, and at least one processor. The at least one processor is configured to receive signals produced by the physiological sensor and the motion sensor, and process the signals while the subject moves their mouth or ear to determine signal quality produced by the physiological sensor. The biometric monitoring device may include a transmitter, and the at least one processor communicates information to the subject regarding the signal quality via the transmitter. The at least one processor may inform the subject that the device is being worn correctly if the signal quality is acceptable, and may inform the subject that the device is not being worn correctly if the signal quality is not acceptable.

Abstract: A method of generating a data string containing physiological and motion-related information includes sensing physical activity of a subject via at least one motion sensor attached to the subject, sensing physiological information from the subject via at least one photoplethysmography (PPG) sensor attached to the subject, and processing signals from the at least one motion sensor and signals from the at least one PPG sensor into a serial data string of physiological information and motion-related information. A plurality of subject physiological parameters can be extracted from the physiological information, and a plurality of subject physical activity parameters can be extracted from the motion-related information.

Abstract: A system includes a sensor configured to sense physiological information from a subject, and a signal processor configured to process signals from the sensor into a serial data stream of physiological information and sensor performance information. An electronic device having a display is configured to receive the serial data stream and display the physiological information simultaneously with the sensor performance information via the display.

Abstract: The methods and apparatuses presented herein determine and/or improve the quality of one or more physiological assessment parameters, e.g., response-recovery rate, based on biometric signal(s) and/or motion signal(s) respectively output by one or more biometric and/or motion sensors. The disclosed methods and apparatuses also estimate a user's stride length based on a motion signal and a determined type of user motion, e.g., walking or running. The speed of the user may then be estimated based on the estimated stride length.

Abstract: 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.

Abstract: Methods and apparatus disclosed herein use a filtering technique to improve the accuracy of the results achieved when processing data provided by a physiological sensor. The disclosed filtering technique corrects many of the accuracy problems associated with physiological sensors, particularly PPG sensors. Broadly, the filtering technique adjusts a current filtered estimate of a physiological metric as a function of a rate limit based on a comparison between an instantaneous estimate of the physiological metric and the current filtered estimate.

Abstract: A wearable biometric monitoring device is configured to assess the biometric signal quality of one or more sensors associated with the monitoring device, determine how the user should adjust the device to improve the biometric fit, and instruct the user to wear the biometric monitoring device a certain way. Communicating instructions to a user may include instructing the user to execute a testing regimen while wearing the biometric monitoring device. The testing regimen facilitates an estimation of a signal quality that can be used to provide feedback to the user that he/she needs to adjust the device to improve the biometric fit and the biometric signal quality.

Abstract: The heart rate monitor disclosed herein removes a step rate component from a measured heart rate by using one or more filtering techniques when the step rate is close to the heart rate. In general, a difference between the step rate and the heart rate is determined, and the step rate is filtered from the heart rate based on a function of the difference.

Abstract: Systems and methods for monitoring various physiological and environmental factors, as well as systems and methods for using this information for a plurality of useful purposes, are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed. This information is then used to support a variety of useful methods, such as clinical trials, marketing studies, biofeedback, entertainment, and others.

Abstract: A headphone system comprising a physiological sensor and a method of fitting a headphone system comprising a physiological sensor to a user is provided. The headphone system comprises a headphone having a speaker, a physiological sensor configured to be positioned for measuring physiological data, and a processor connected to the physiological sensor to receive the measured physiological data and process the measured physiological data to output physiological information and a fitting parameter. An application program is associated with the headphone, and is configured to receive the physiological information and the fitting parameter. The application program may evaluate at least the fitting parameter to indicate to a user whether the headphone is properly positioned, and issue a first notification in dependence on the evaluation of the fitting parameter.

Abstract: The methods and apparatuses presented herein determine and/or improve the quality of one or more physiological assessment parameters, e.g., response-recovery rate, based on biometric signal(s) and/or motion signal(s) respectively output by one or more biometric and/or motion sensors. The disclosed methods and apparatuses also estimate a user's stride length based on a motion signal and a determined type of user motion, e.g., walking or running. The speed of the user may then be estimated based on the estimated stride length.

Abstract: Methods and apparatus are presented for removing motion artifacts from physiological signals produced by a physiological sensor of a wearable device, wherein the physiological sensor includes at least one optical emitter and at least one optical detector. Light emitted by the at least one optical emitter that is scattered by a body of a subject wearing the device is detected, and a physiological information signal therefrom is produced via the at least one optical detector. Light emitted by the at least one optical emitter that is scattered by a light regulating region of the wearable device is detected, and a motion noise information signal is produced via the at least one optical detector. The physiological information signal and the motion noise information signal are processed via at least one processor associated with the wearable device to at least partially remove unwanted motion artifacts from the physiological information signal.

Abstract: A monitoring device includes a sensor band configured to be secured around an appendage of a subject, and a sensing element movably secured to the sensor band via a biasing element. The sensor band has a first mass, and the sensing element has a second mass that is less than the first mass. The biasing element is configured to urge the sensing element into contact with a portion of the appendage, and the biasing element decouples motion of the band from the sensing element. A monitoring device includes a band that is configured to be secured around an appendage of a subject. One or more biasing elements extend outwardly from the band inner surface and are configured to contact the appendage. A sensing element is secured to the band inner surface. The one or more biasing elements decouples motion of the band from the sensing element.

Abstract: A monitoring device includes a housing configured to be attached to a body of a subject. An optical emitter, optical detector, and sensor for measuring motion noise are located within the housing. Light transmissive material is in optical communication with the optical emitter and detector and is configured to deliver light from the optical emitter to one or more locations of the body of the subject and to collect light external to the housing and deliver the collected light to the detector. A signal processor is configured to receive and process signals produced by the optical detector and the motion noise sensor, and to remove noise from the signals produced by the optical detector. The signal processor may generate physiological parameters for the subject such as heart rate, blood flow, blood pressure, VO2max, heart rate variability, respiration rate, and blood gas/analyte level.

Abstract: An earbud includes a speaker driver, and a sensor module secured to the speaker driver that is configured to detect and/or measure physiological information from a subject wearing the earbud. The sensor module includes a printed circuit board, an optical source secured to the printed circuit board, and an optical detector secured to the printed circuit board. A first light guide may be coupled to the optical source that is configured to deliver light from the optical source into an ear region of the subject via a distal end thereof. A second light guide may be coupled to the optical detector that is configured to collect light from the ear region via a distal end thereof and deliver collected light to the optical detector. One or more additional sensors may be secured to the speaker driver, such as accelerometers, humidity sensors, altimeters, and temperature sensors.

Abstract: A headphone system comprising a physiological sensor and a method of fitting a headphone system comprising a physiological sensor to a user is provided. The headphone system comprises a headphone having a speaker, a physiological sensor configured to be positioned for measuring physiological data, and a processor connected to the physiological sensor to receive the measured physiological data and process the measured physiological data to output physiological information and a fitting parameter. An application program is associated with the headphone, and is configured to receive the physiological information and the fitting parameter. The application program may evaluate at least the fitting parameter to indicate to a user whether the headphone is properly positioned, and issue a first notification in dependence on the evaluation of the fitting parameter.

Abstract: The method and apparatus disclosed herein determine a user cadence from the output of an inertial sensor mounted to or proximate the user's body. In general, the disclosed cadence measurement system determines the user cadence based on frequency measurements acquired from an inertial signal output by the inertial sensor. More particularly, a cadence measurement system determines a user cadence from an inertial signal generated by an inertial sensor, where the inertial signal comprises one or more frequency components. The cadence measurement system determines a peak frequency of the inertial signal, where the peak frequency corresponds to the frequency component of the inertial signal having the largest amplitude. After applying the peak frequency to one or more frequency threshold comparisons, the cadence measurement system determines the user cadence based on the peak frequency and the frequency threshold comparison(s).