The present disclosure relates to noninvasive methods, devices, and systems for measuring various blood constituents or analytes, such as glucose. In an embodiment, a light source comprises LEDs and super-luminescent LEDs. The light source emits light at at least wavelengths of about 1610 nm, about 1640 nm, and about 1665 nm. In an embodiment, the detector comprises a plurality of photodetectors arranged in a special geometry comprising one of a substantially linear substantially equal spaced geometry, a substantially linear substantially non-equal spaced geometry, and a substantially grid geometry.

A monitoring device configured to be attached to a subject includes a sensor configured to detect and/or measure physiological information and a processor coupled to the sensor. The sensor includes at least one optical emitter and at least one optical detector. The processor receives and analyzes signals produced by the sensor, and the processor changes wavelength of light emitted by the at least one optical emitter in response to detecting a change in subject activity. For example, the processor instructs the at least one optical emitter to emit shorter wavelength light in response to detecting an increase in subject activity, and the processor instructs the at least one optical emitter to emit longer wavelength light in response to detecting an decrease in subject activity. Detecting a change in subject activity may include detecting a change in at least one subject vital sign and/or subject motion.

An earpiece module includes a housing configured to be attached to an ear of a person, a first audio sensor within the housing configured to detect auscultatory sounds from an ear canal of the ear and generate a physiological information signal from the auscultatory sounds, and a second audio sensor within the housing and oriented in a direction towards an outside environment of the person. The second audio sensor is configured to detect sounds external to the person including voice sounds and footstep sounds, and to generate an environmental information signal from the external sounds. A processor is configured to receive the physiological information signal and the environmental information signal, process the external sounds in the physiological information signal and the environmental information signal to reduce the voice sounds and the footstep sounds from the physiological information signal and generate a cleaner physiological information signal.

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 at least one actuator that is configured to adjust the stability of the monitoring device relative to the subject body in response to the sensor detecting a change in subject activity, a change in environmental conditions, a change in time, and/or a change in location of the subject.

A power-optimized eco-system for tracking a user's health comprises: one or more wearable remote sensors, each wirelessly communicating only with one wearable central sensor; a portable device readily accessible to the user; and a cloud platform. Each sensor is configured to measure data indicative of one or more physiological parameters. The central sensor is configured to receive and subsequently process data measured by each remote sensor, to process data measured by the central sensor, and to generate corresponding instructions. The portable device comprises: a receiver wirelessly receiving the processed data and instructions from the central sensor; a processor running a mobile application handling the processed data and instructions; and a transmitter. The cloud platform is configured to: receive the processed data from the transmitter; analyze the received processed data; and transmit the results of the analysis to at least one of the portable device and an authorized healthcare entity.

A system includes an earpiece and a telecommunications device in communication with the earpiece. The earpiece includes a power source, a processor configured to process at least one algorithm stored within the earpiece, and an optical sensor. The optical sensor includes at least one optical emitter configured to direct optical energy to a region of an ear of a subject wearing the earpiece and at least one optical detector configured to sense absorbed, scattered, and/or reflected optical energy emanating from the ear region. The telecommunications device is configured to modify the at least one algorithm, to download additional algorithms to the earpiece, and to activate and deactivate the optical sensor.

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.

Example apparatus and methods for gathering electroencephalographic signals are disclosed herein. An example apparatus includes a band to be worn on a head of a person and a first strip adjustably coupled to the band. The example apparatus also includes a first set of electrodes coupled to the first strip to gather a first set of signals from the head and a magnetic fastener to couple the first strip to the band.

A method and apparatus for measuring blood pressure by measuring a photoplethysmographic (PPG) signal of a user with the arm in a raised position and in a lowered position and measuring the difference in timing between them, which represents a change in pulse transit time. The PPG signal is measured in the wrist of the user relative to the PPG signal in the finger of the user. A camera built into a mobile telephone may form a first optical sensor for measuring the PPG signal in the finger and an attached accessory camera, such as an infrared camera, or an optical sensor in a wrist-worn device to obtain the PPG signal in the wrist. Alternatively, a head-worn device may be used as a second optical sensor. Signal averaging based on the timing of the finger-originating PPG signal is used to average the waveforms in the wrist-originating PPG signal for arm-up and arm-down, and the timing difference is measured between the arm-up averaged waveform and arm-down averaged waveform. A calibration process is used to derive a relationship between the change in pulse transit time and the subjects blood pressure allowing a display of an estimate of the blood pressure of the subject on the screen of the mobile telephone.

A hearing device, e.g. a hearing aid, comprises first and second hearing device parts having separate first and second housings and being electrically connectable by a connecting element. The second hearing device part is available in a multitude of variants. The connecting element comprises an electric cable comprising a multitude of electric conductors, and a first electric connector comprising a multitude of first electric termination elements. The second hearing device part comprises a loudspeaker, and/or a number of sensors each providing an electric sensor signal representative of a current property of the environment of the hearing device and/or a current state of the user wearing the hearing device. The first hearing device part comprises a configuration extractor electrically connected to said second hearing device part via said connecting element and adapted to identify a current configuration of sensors in said second hearing device part.