A system for adjusting blood glucose level including an insulin delivery device configured to release insulin into the body of a person, and an EEG monitor having an EEG sensing part including EEG electrodes. The EEG monitor can be arranged in the ear region of the person with the EEG sensing part arranged subcutaneously at the scalp or arranged in the ear canal. The EEG monitor includes an EEG signal processor arranged at the ear and adapted for identifying onset of hypoglycemia. The system further includes a wireless link between the EEG monitor and the insulin delivery device. The EEG monitor is configured to submit a warning signal to the insulin delivery device if an upcoming onset of hypoglycemia is identified. The warning message will cause the insulin delivery device to restrict insulin delivery for a predetermined time, and a warning is provided to the person or to a caregiver.

A monitoring device includes a band configured to be secured around an appendage of a subject, and a sensor module secured to the band via supporting material. The band has a first Durometer value, and the supporting material has a second Durometer value that is lower than the first Durometer value. The sensor module includes a housing, and a sensor assembly disposed within the housing. The sensor assembly includes at least one energy emitter and at least one energy detector, and the housing includes at least one protrusion extending outwardly to accommodate the at least one energy emitter, and a plurality of outwardly extending stabilizing members.

An in-ear noise dosimeter in the form of an earplug which senses sound in the ear canal using an eartip which has a sound delivery channel that couples sound at the end closest to the eardrum to an earplug microphone. The earplug can communicate wirelessly with a remote data collection and processing system. A dock unit for storing the earplugs when not worn can compensate for differences in unoccluded-ear versus occluded-ear responses by an acoustic compensator. An electronic compensation filter can be modified by a proximity switch in the earplug which changes state when the earplug is worn in the ear versus stored in a dock unit. The dosimeter can also have a temperature sensor for sensing human body temperature and remotely-located wireless LEDs used to alert the user of high noise dosage. Data can also be downloaded from the earplug using a reader unit.

An apparatus for measuring intracranial pressure constituted of: a transmitter arranged to transmit a first acoustic signal through a first cranial point; a receiver arranged to receive a second acoustic signal from a second cranial point; and a control circuitry, wherein the control circuitry is arranged to: extract from the detected second acoustic signal a first set of frequency components associated with the transmitted first acoustic signal; extract from the detected second acoustic signal a second set of frequency components associated with intracranial processes; and determine intracranial pressure responsive to the extracted first set of frequency components and the extracted second set of frequency components.

A method of analyzing performance of frequency lowering hearing aids. The method includes generating a sequentially of noise signals and transmitting acoustical sounds from a sound output device in response to the sequence of noise signals. A sound input device records the acoustical sounds and saves as a first device data. The sound input device with a frequency lowering hearing aid records the acoustical sounds and save as a second device data. The second device data is compared to the first device data and, in response to the comparison, at least one function of the frequency lowering hearing aid is optionally adjusted.

Methods and related devices 100 for obtaining the blood pressure of a person in two different ways. The first way comprising steps of providing a light source 101, and an optical sensor 103 configured to detect light from the light source 101 which has propagated through the wrist of a wearer of such a device 100. The amount of light propagating through the wrist depends on the amount of blood in the wrist. Blood pressure is then observed by monitoring the difference in the amplitude of blood pulsation within the wrist when the wrist is lifted above heart level, and when the wrist is lowered below heart level. The second way comprising mathematically analysing light transmission signals though a body part of the same person. Blood pressure readings obtained by the first way are used to calibrate blood pressure readings by the second way.

A chewing detecting device includes: earphone-type external auditory meatus sensors which have a pair of a light emitting element and a light receiving element and in which the light receiving element receives reflective light of light emitted by the light emitting element into an external auditory meatus to output a voltage signal corresponding to a light receiving amount; association processing means associating an output signal of the external auditory meatus sensors with a motion of a jaw, and outputting a chewing signal showing that the jaw performs chewing; and chewing section sensing means which determines whether or not an output of the external auditory meatus sensors is based on the motion of the jaw (within a chewing section), and which invalidates the output of the association processing means when the output of the external auditory meatus sensors is not based on the motion of the jaw (without the chewing section).

The application relates to a hearing device, e.g. a hearing aid, comprising a first part for being inserted in an ear canal or fully or partially implanted in the head of a user, the first part comprising at least one electrode unit, termed a PR-electrode unit, for making contact to skin or tissue of a user when mounted or implanted in an operational condition, the at least one PR-electrode unit being configured to pick up a physiological response from the user, and wherein the at least one PR-electrode unit comprises an electrically conductive material, e.g. a shape memory alloy. The first part may comprise an implanted part, e.g. in combination with an external part adapted for being located in an ear canal, wherein both parts comprise one or more PR-electrode units. The invention may e.g. be used hearing aids, headsets, ear phones, active ear protection systems, or combinations thereof, e.g. to control processing of the hearing device or to monitor a condition of the user wearing the hearing device.

Presented herein are techniques for performing automated Electrocochleography (ECoG) testing using ambient sound signals received by a hearing prosthesis during normal operation (i.e., outside of a clinical setting). In particular, the hearing prosthesis analyzes ambient sound signals to identify portions of the sound signals that are conducive/suitable to the performance of an ECoG measurement (i.e., an ECoG measurement structure). When an ECoG measurement structure is identified, the hearing prosthesis itself performs an ECoG measurement using one or more implanted electrodes.

Passively monitoring a user's breathing with a device can include identifying breathing modes of the user's breathing and responsive to detecting a trigger mode based on the identifying, generating an instruction adapted to the trigger mode. The instruction can be conveyed to the user via the device. The monitoring can include determining phases of the user's breathing with the device. Determining the phases can include receiving acoustic signals generated by an acoustic sensor in response to a user's breathing and generating acoustic data comprising features extracted from the acoustic signals. Phases of the user's breathing can be determined by classifying the acoustic data using a machine learning model trained based on signal processing of motion signals generated by a motion sensor in response to human breathing motions. Though trained using signal processing of motion signals, the machine learning model is trained to classify acoustic data.