Abstract: 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.

Abstract: A monitoring device configured to be attached to a body of a subject includes a sensor configured to detect and/or measure physiological information from the subject, and a processor coupled to the sensor that is configured to receive and analyze signals produced by the sensor. The processor is configured to change signal analysis frequency and/or sensor interrogation power in response to detecting a change in subject activity, a change in subject stress level, a change in environmental conditions, a change in time, and/or a change in location of the subject.

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 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.

Abstract: A monitoring device includes a biasing element having opposite first and second end portions, an earbud attached to the biasing element first end portion, and a sensing element attached to the biasing element second end portion. The earbud 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 ear when the earbud is inserted into the ear. The biasing element decouples motion of the earbud from the sensing element. The sensing element includes at least one energy emitter configured to direct energy at a target region of the ear and at least one detector configured to detect an energy response signal from the target region or a region adjacent the target region.

Abstract: A wearable audio device includes a housing configured to be positioned at an ear of a subject, a speaker and a chipset within the housing. The chipset includes a plurality of sensor elements, at least one signal processor, at least one digital bus, power regulating circuitry, and at least one wireless transmitter. The sensor elements include at least one optical emitter, at least one optical detector, and at least one noise source. The chipset is positioned within the housing such that the at least one optical emitter and at least one optical detector are in optical communication with the ear via a window in the housing. The at least one signal processor includes sensor signal conditioning algorithms configured to process signals from the sensor elements to generate physiological assessment information about the subject. The at least one wireless transmitter is configured to communicate the physiological assessment information to a remote device.

Abstract: Monitoring apparatus and methods are provided for assessing a physiological condition of a subject. At least two types of physiological information are detected from a subject via a portable monitoring device associated with the subject, and an assessment of a physiological condition of the subject is made using the at least two types of physiological information, wherein each type of physiological information is individually insufficient to make the physiological condition assessment. Environmental information from a vicinity of a subject also may be detected, and an assessment of a physiological condition of the subject may be made using the environmental information in combination with the physiological information. Exemplary physiological information may include subject heart rate, subject activity level, subject tympanic membrane temperature, and subject breathing rate. Exemplary environmental information may include humidity level information in the vicinity of the subject.

Abstract: A wearable device includes a housing, at least one optical emitter supported by the housing, wherein the at least one optical emitter is configured to generate modulated light, at least one optical detector supported by the housing, and a tip removably secured to the housing. The tip includes first and second portions, wherein the first portion directs light along a first path from the at least one optical emitter to a body of a subject wearing the device, and wherein the second portion directs light from the body of the subject to the optical detector along a second path that is different from the first path. The device may also include an analog-to-digital converter, a motion sensor, and a processor. The processor executes a first filter that attenuates sunlight noise and a second filter that attenuates motion artifacts.

Abstract: A biometric monitoring device configured to be worn by a subject includes a physiological sensor configured to detect and/or measure physiological information from the subject, and a processor configured to analyze signals from the physiological sensor to detect a signature unique to the subject wearing the biometric monitoring device, and determine if the detected signature is a first signature associated with the biometric monitoring device being worn or a second signature associated with the biometric monitoring device not being worn. The first and second signatures are generated by the processor prompting the subject to indicate at prior times when the biometric monitoring device is being worn and is not being worn.

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: A wearable biometric monitoring device includes a physiological sensor configured to detect and/or measure physiological information from a subject wearing the device, an accelerometer, and a processor. The processor is configured to analyze signals from the accelerometer to identify a 1G force vector on the biometric monitoring device, and determine whether an orientation of the 1G force vector is aligned with a desired vector for the 1G force. The device may also include a transmitter, and the processor is configured to communicate information, via the transmitter, to the subject that the device is being worn correctly if the orientation of the 1G force vector is aligned with the desired vector for the 1G force and to communicate information to the subject that the device is not being worn correctly if the orientation of the 1G force vector is not aligned with the desired vector for the 1G force.

Abstract: A client device includes a display and a processor configured to obtain a data stream from a remote sensor via a communication protocol. The remote sensor is a physiological sensor monitoring a subject and/or an environmental sensor monitoring an environment in a vicinity of the subject, and the data stream includes a sensor metric, a metric identifier, and dynamically updated integrity information about the sensor metric. The processor is also configured to identify a statistical distribution function associated with the remote sensor via a function selector associated with the communication protocol, and display, via the display, the sensor metric with statistical information about the sensor metric using the identified statistical distribution function.

Abstract: A light-guiding earpiece configured to be worn by a subject includes a base comprising a speaker and at least one optical detector, a housing extending outwardly from the base that is configured to be positioned within an ear of a subject, and a flexible optical emitter configured to be conformable to at least a portion of the earpiece. The housing encloses the speaker and comprises at least one aperture through which sound from the speaker can pass. The flexible optical emitter may be integrally formed within the housing, and the housing may include translucent material that forms a light-guiding region through which light from the flexible optical emitter can pass. The optical detector may be a flexible optical detector.

Abstract: A cover is configured to be removably attached to and at least partially cover a hearing aid earpiece. The removable cover includes light transmissive material in at least one portion thereof that is configured to guide light from at least one optical emitter associated with the hearing aid earpiece to a region of a body of a subject wearing the hearing aid earpiece and/or guide light from the body of the subject to at least one optical detector associated with the hearing aid earpiece. The removable cover may include at least one alignment member that facilitates stability of the hearing aid earpiece when inserted within an ear of the subject. The removable cover may include at least one lens region, at least one light diffusion region, and/or at least one luminescence region in optical communication with the light transmissive material.

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: 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: An apparatus includes a digital camera configured to capture a plurality of images of a region of a body of a subject, a photoplethysmography (PPG) sensor configured to sense blood flow information from the subject, and a processor in communication with the digital camera and the PPG sensor. The processor is configured to analyze a blood flow information signal from the PPG sensor and determine a heart rate frequency and/or a breathing rate frequency of the subject. The processor is also configured to analyze the plurality of images and determine whether or not a portion of the region of the body is modulating at a frequency that is similar to the heart rate frequency and/or the breathing rate frequency of the subject.

Abstract: 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 a 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 determined, the processor is configured to select a biometric signal extraction algorithm or circuit in response to the activity characteristic of the subject, and then process physiological sensor signals via the biometric signal extraction algorithm or circuit to produce physiological information about the subject.

Abstract: A method of monitoring a subject includes detecting subject head motion information via a microelectromechanical systems sensor associated with an earpiece worn by the subject, processing, via a processor associated with the earpiece, the head motion information to determine subject head displacement relative to an origin and to determine if the subject has fallen down and/or is not moving, and transmitting the processed head motion information to a remote device. The method further includes communicating corrective action to the subject from the remote device and/or communicating corrective action for the subject from the remote device to a third party. The earpiece may include an audio headset, a hearing aid, or an earpiece fitting.

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.