A heart rate sensor within a hearing assistance device may provide heart rate information or other sensor data, which may be used to determine how well the hearing assistance device fits the patient's ear. The heart rate sensor data provides quantitative feedback that indicates how well the hearing assistance device fits the patient's ear. The heart rate sensor data may be used to provide an indication to the patient to reseat or otherwise adjust the fitting of the hearing assistance device. The improved fitting process provides the ability for the audiologist and patient to identify a preferred or optimized hearing assistance device geometry. This improved fit provides improved performance and reliability of the hearing assistance device.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

Methods of measuring biometric characteristics using a sensor positioned in an ear canal of a user are provided. The sensor is positioned on or connected to an ear tip, a contact hearing device, or one or more components thereof. One or more biometric signals may be sensed from the sensor. The biometric characteristic of the user is measured or derived from these sensed signals, and include but are not limited to the temperature of the user, acoustic signal(s) from the user, movement(s) of the user, a ballistocardiogram, an electrocardiogram, oxygen saturation, and blood pressure.

An orthopedic system configured for use in a pre-operative, intra-operative, and post-operative assessment. The orthopedic system comprises a first screw, a second screw, a first device, a second device, and a computer. The first device and the second device are respectively coupled to a first bone and a second bone of a musculoskeletal system. The first and second devices each include electronic circuitry, one or more sensors, and an IMU. A bracket, wrap, or sleeve can be used to hold the first and second devices to the musculoskeletal system. The first and second devices are configured to send measurement data to a computer. The first and second devices each have an antenna system. Electronic circuitry in the first or second devices are configured to harvest energy from a received radio frequency signal to recharge a battery to maintain operation.

A method for stabilizing a gait of a user wearing a hearing device comprises: sensing an audio signal with a microphone of the hearing device; modifying the audio signal with the hearing device into a modified audio signal; sensing a movement signal of the user with a movement sensor of the hearing device; determining a step signal indicative of a timing of steps of the user and/or a sway signal of the user indicative of a sway of the user over time from the movement signal; predicting a future step signal from the step signal; triggering a cue signal depending on the future step signal and/or the future sway signal; generating an output cue to be output to the user, the output cue comprising an acoustic cue; and adding the acoustic cue to the audio signal or the modified audio signal at the timing of the cue signal.

Disclosed herein are apparatuses for manipulation of an ear device within the ear canal of a subject. Also disclosed herein are methods of using said apparatuses for the insertion, removal, or other manipulations of the ear device. Also disclosed herein are methods of making the apparatuses, and kits containing the apparatus with instructions for use.

A wearable electronic device includes a housing, and an electrode carrier attached to the housing and having a nonplanar surface. The wearable electronic device includes a set of electrodes, including electrodes positioned at different locations on the nonplanar surface. The wearable electronic device includes a sensor circuit and a switching circuit. The switching circuit is operable to electrically connect a number of different subsets of one or more electrodes in the set of electrodes to the sensor circuit.

An illustrative hearing system may be configured to cause an emitting device included in a hearing device to emit an output signal while the hearing device is at least partially positioned within an ear canal of a user and cause a sensor positioned outside the ear canal to attempt to detect the output signal. The sensor may be configured to output sensor data representative of one or more signals detected by the sensor during a time period corresponding to the emitting of the output signal by the emitting device. The hearing system may further be configured to determine, based on the sensor data, a quality metric for an optical measurement performed or to be performed by an optical measurement device included in the hearing device.

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

The present invention relates to a lifelog device utilizing audio recognition and a method therefor, and to a device capable of recording and classifying audio lifelogs by means of an artificial intelligence algorithm. To this end, the lifelog device of the present invention comprises: an input unit for inputting lifelog data including an audio signal; and analysis unit for analyzing the inputted data; a determination unit for classifying the class of the data on the basis of the analyzed analysis value; and a recording unit for recording the inputted data and the classified class of the data.