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 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 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

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 signal-to-noise level 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 signal-to-noise level determination may be a determination that the signal-to-noise level is below a threshold level. The blood flow stimulator may be a heating element or light source configured to heat the location of the subject.

Abstract: 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.

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 biometric waveform analysis system includes a wearable device having a sensor system and that is configured to be worn on a body of a subject, a metric output generator in communication with the sensor system, a waveform analysis engine in communication with the sensor system, and a control processor configured to control the sensor system, the metric output generator, and the waveform analysis engine. The sensor system includes one or more physiological sensors and motion sensors. The metric output generator includes logic that extracts at least one physiological parameter from the physiological data signal and extracts at least one motion parameter from the motion data signal. The waveform analysis engine includes waveform capture logic, normalization logic, contextual logic, and physiological assessment logic. The waveform capture logic receives the physiological data signal from the sensor system and separates the physiological data signal into a plurality of individual physiological waveforms.

Abstract: 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.

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: 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.

Abstract: An earpiece monitor configured to be worn by a subject includes a battery, an earpiece fitting configured to be inserted within an ear canal of an ear of the subject, a reflective pulse oximeter configured to measure pulse rate and pulse intensity of the subject, a motion sensor configured to monitor footsteps and head motion of the subject, a digital memory for storing at least one algorithm, and a processor configured to process signals from the reflective pulse oximeter and the motion sensor using the at least one algorithm to generate as assessment of a health state of the subject. The earpiece fitting is configured to transmit sound to the inner ear or eardrum of the subject. The assessment of the health state of the subject may include an assessment of subject physiological stress and/or an assessment of overall subject health.

Abstract: A system for monitoring the cardiopulmonary functioning of a person includes a remote terminal and a sensor module configured to be worn by the person. The sensor module includes at least one physiological sensor configured to sense the following types of physiological information generated by the person: pulse rate, blood flow, and blood pressure; at least one signal processor configured to process signals generated by the at least one physiological sensor; and at least one transmitter responsive to the at least one signal processor that is configured to transmit at least one signal to the at least one remote terminal. The at least one signal processor is configured to focus processing resources on one of the types of physiological information in response to a specified preference by the person.

Abstract: A method of identifying a best one of a plurality of photoplethysmography channels of a PPG sensor, wherein the PPG sensor includes at least one optical detector and a plurality of optical emitters that define the plurality of PPG channels, includes sensing PPG data from each of the plurality of PPG channels; processing the PPG data from each PPG channel, via the processor, to generate a plurality of PPG parameters; processing the PPG parameters, via a probabilistic model, to identify a best one io of the plurality of PPG channels.