Abstract: 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.

Abstract: A method of qualifying a measurement from a subject includes collecting PPG data and meta data from the subject, determining metric features from the meta data, determining whether the meta data metric features are associated with a desired metric statistic, and in response to the determining whether the meta data metric features are associated with a desired metric statistic, categorizing the subject-specific metric statistic as qualified for processing a PPG-based metric for the subject based on the collected PPG data from the subject.

Abstract: 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.

Abstract: A monitoring device configured to be attached within a portion of an ear of a subject includes an elastomeric arm having opposite first and second end portions. A sensing element is located at the elastomeric arm second end portion and 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. The monitoring device is configured such that the elastomeric arm first end portion engages the ear at a first location within the ear and such that the elastomeric arm resiliently bends such that a surface of the sensing element is urged into contact with the ear at a second location within the ear.

Abstract: A wearable device includes a ring-shaped housing having a central opening and defining an annular interior volume. The housing is configured to be worn within an ear of a subject such that the subject's ear canal is exposed by the central opening. At least one optical emitter and at least one optical detector are supported within the housing. The housing includes at least one window through which light can be delivered from the at least one optical emitter to the ear, and through which light from the ear can be delivered to the at least one optical detector.

Abstract: 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.

Abstract: A wearable device includes a ring-shaped housing having a central opening and defining an annular interior volume. The housing is configured to be worn within an ear of a subject such that the subjects ear canal is exposed by the central opening. At least one optical emitter and at least one optical detector are supported within the housing. The housing includes at least one window through which light can be delivered from the at least one optical emitter to the ear, and through which light from the ear can be delivered to the at least one optical detector.

Abstract: A method of generating a blood pressure estimation for a subject includes receiving real-time PPG data from a PPG sensor attached to the subject, and generating a blood pressure estimation for the subject via an adaptive predictive model using the real time PPG data. The method includes receiving a real-time measurement of blood pressure via a blood pressure monitoring device attached to the subject and, in response to receiving the real-time measurement of blood pressure, updating one or more parameters of the model in real-time to improve blood pressure estimation accuracy of the model. The method may also include detecting whether the generated blood pressure estimation is above or below a threshold and, in response to determining that the generated biometric estimation is above or below the threshold, receiving a real-time measurement of blood pressure and then updating the parameters of the model to improve blood pressure estimation accuracy of the model.

Abstract: A method of generating a blood glucose estimation for a subject includes receiving real-time PPG data from a PPG sensor attached to the subject, and generating a blood glucose estimation for the subject via an adaptive predictive model using the real time PPG data. The method includes receiving a real-time measurement of blood glucose via a blood glucose monitoring device attached to the subject and, in response to receiving the real-time measurement of blood glucose, updating one or more parameters of the model in real-time to improve blood glucose estimation accuracy of the model. The method may also include detecting whether the generated blood glucose estimation is above or below a threshold and, in response to determining that the generated blood glucose estimation is above or below the threshold, receiving a real-time measurement of blood glucose and then updating the parameters of the model to improve blood glucose estimation accuracy of the model.

Abstract: A blood pressure monitoring system includes a blood pressure monitoring device configured to obtain a blood pressure measurement from a subject, a PPG sensor configured to obtain PPG data from the subject, and at least one processor configured to generate a blood pressure estimation for the subject via an adaptive predictive model using real-time PPG data from the PPG sensor, determine whether the generated blood pressure estimation is above or below a threshold, and send an alert to a remote device in response to determining that the generated blood pressure estimation is above or below the threshold. The at least one processor may also be configured to request a blood pressure measurement from the blood pressure monitoring device in response to determining that the generated blood pressure estimation is above or below the threshold, and update the one or more parameters of the adaptive predictive model in real-time.

Abstract: A method of generating a biometric estimation for a subject includes receiving real-time PPG data from a PPG sensor attached to the subject, and generating a biometric estimation for the subject via an adaptive predictive model using the real time PPG data. The method includes receiving a measurement of the biometric via a biometric monitoring device and, in response to receiving the measurement of the biometric, updating one or more parameters of the model in real-time to improve biometric estimation accuracy of the model. The method may also include detecting whether the generated biometric estimation is above or below a threshold and, in response to determining that the generated biometric estimation is above or below the threshold, receiving a measurement of the biometric and then updating the parameters of the model to improve biometric estimation accuracy of the model.

Abstract: 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.

Abstract: A method of monitoring a subject includes detecting subject head motion via a microelectromechanical systems (MEMS) sensor associated with a device worn by the subject, such as a device worn on a region of the head or a headset attached to an ear. The head motion information from the MEMS sensor is processed to determine subject head displacement relative to an origin and/or to identify footstep information, and the processed head motion information is transmitted to a remote device. Processing the head motion information from the MEMS sensor may be performed via at least one processor associated with the device worn by the subject and/or via a second device in telemetric communication with the MEMS sensor. The method may include processing head motion information from the MEMS sensor to determine if the subject has fallen down and/or is not moving.

Abstract: A wearable device includes at least one physiological sensor configured to detect and/or measure physiological information from a subject over a period of time when the wearable device is worn by the subject, and a process or coupled to the sensor. The process or is configured to detect respective peaks in a physiological waveform representing the physiological information, compute probabilities for the respective peaks based on predetermined data indicative of one or more conditions, select a subset of the respective peaks based on the probabilities thereof as representing more accurate physiological information for the subject, and generate a physiological assessment of the subject based on the subset of the respective peaks that was selected. Related signal processing devices, methods of operation, and computer program products are also discussed.

Abstract: A monitoring device configured to be attached within a portion of an ear of a subject includes an elastomeric arm having opposite first and second end portions. A sensing element is located at the elastomeric arm second end portion and 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. The monitoring device is configured such that the elastomeric arm first end portion engages the ear at a first location within the ear and such that the elastomeric arm resiliently bends such that a surface of the sensing element is urged into contact with the ear at a second location within the ear.

Abstract: A wearable monitoring device includes a band configured to at least partially encircle a portion of the body of a subject and at least one optical emitter and at least one optical detector attached to the band. The band includes a generally cylindrical outer body portion and a generally cylindrical inner body portion secured together in concentric relationship. The inner body portion includes light transmissive material and has outer and inner surfaces. A layer of cladding material is near the inner body portion inner surface, and a plurality of windows are formed in the cladding material that each serve as a light-guiding interface to the body of the subject. The plurality of windows are circumferentially spaced apart from each other.

Abstract: 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.

Abstract: A monitoring device configured to be attached within a portion of an ear of a subject includes an elastomeric arm having opposite first and second end portions. A sensing element is located at the elastomeric arm second end portion and 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. The monitoring device is configured such that the elastomeric arm first end portion engages the ear at a first location within the ear and such that the elastomeric arm resiliently bends such that a surface of the sensing element is urged into contact with the ear at a second location within the ear.

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 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.