Disclosed is an artificial intelligence infrared thermal imaging bra system with breast disease detecting function. The system includes a side support, two chest support layers and two shoulder straps; the two shoulder straps are fixed at both ends of the side support, and the two chest support layers are symmetrically fixed between the two shoulder straps at the top of the side support; the two chest support layers are internally provided with sliding mechanisms that are adjustable according to different chests of users; a rotating mechanism for driving the sliding mechanisms to move is arranged between the two chest support layers at the top of the side support, and the rotating mechanism and the sliding mechanisms are in transmission connection; one end of the side support is fixed with a sub-buckle, and the other end of the side support is provided with a stretching mechanism.

A method, system, and/or apparatus for automatically monitoring for possible mental or physical health concerns. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically learns user activity patterns and detects significant deviations therefrom. The deviations are automatically analyzed for known correlations to mental or physical concerns, which can then be automatically communicated to a relevant friend, family member, and/or medical professional.

A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.

A cellphone-based oxygenation tool can include a circuitry housing unit, a light emitting diode (LED) box disposed on the circuitry housing unit, a plurality of LEDs disposed in the LED box, a diffuser sheet or lens disposed on the LED box, a lens holder disposed on the circuitry housing unit and configured to be movable with respect to the circuitry housing unit, a near-infrared (NIR) filter disposed on the lens holder, and a cellphone disposed on the circuitry housing unit and having an NIR sensitive camera. Each of the plurality of LEDs can have different wavelengths, and application software of the cellphone can be configured to acquire data from the NIR sensitive camera and process the data before storing the data.

An interface pressure sensor includes a fluid pressure sensor disposed in a volume defined by a shear wall. The volume is enclosed, and the fluid pressure sensor is encapsulated by, an infill material. The infill material defines a sensing surface that, when pressed, can impart a force that is detectable by the fluid pressure sensor.

Embodiments herein relate to ear-worn devices that can track exposure to hearing degrading conditions and/or provide notifications or warnings regarding the same. In an embodiment, an ear-worn device is included having a control circuit, a microphone in electrical communication with the control circuit, an electroacoustic transducer for generating sound in electrical communication with the control circuit, and a power supply circuit in electrical communication with the control circuit, wherein the ear-worn device is configured to track exposure to hearing degrading conditions over time via at least one of the microphone and a sensor package and wherein the ear-worn device is configured to store data regarding the tracked exposure. Other embodiments are also included herein.

Methods, systems, and devices for heart rate detection are described. A method may include receiving physiological data associated with the user, where the physiological data may include motion data and temperature data collected throughout a time interval via a wearable device associated with the user. The method may include determining a condition quality metric associated with the time interval based on the received motion data and temperature data. The condition quality metric may indicate a relative quality of the physiological data collected throughout the time interval for determination of heart rate measurements. The method may include sampling photoplethysmogram (PPG) data for the user via the wearable device based on the condition quality metric satisfying a threshold metric value and a timer satisfying a first threshold time duration. The method may include determining a heart rate measurement for the user based at least in part on the sampled PPG data.

A system for monitoring the reaction of a user and for adjusting output content based on the user's reaction includes an output unit, a monitoring unit, a synchronization unit, an analysis unit and a control unit. The output unit presents content to the user. The monitoring unit monitors a user parameter during a period during which a first content is presented to the user in order to obtain monitoring data from the user. The monitoring data is synchronized during the period with the first content so as to link in time the monitoring data and the first content. The analysis unit analyzes the monitoring data and links it to the first content in order to determine the user's reaction to the first content. The control unit controls the output unit to present a second content to the user that is selected based on the user's reaction to the first content.

A hearable comprises a wearable structure including a speaker, a sensor, and a temperature compensating circuit which measures temperature in an environment of the sensor. A portion of the wearable structure, which includes the sensor and temperature compensating circuit, is disposed within a user’s ear when in use. A sensor processing unit which is communicatively coupled with the temperature compensating circuit: acquires temperature data from the temperature compensating circuit while the portion of the wearable structure is disposed within the ear of the user; builds a baseline model of normal temperature for the user; and compares a temperature measurement acquired from the temperature compensating circuit to the baseline model. In response to the comparison showing a deviation beyond a preset threshold from the baseline model, the sensor processing unit generates a health indicator for the user which is used to monitor an aspect of health of the user.

In accordance with one embodiment, a method for determining changes in health of a user is disclosed. The method includes sensing multi-dimensional motion of a body part of a user to generate a first multi-dimensional motion signal at a first time and date; in response to the first multi-dimensional motion signal, generating a first neuro-mechanical fingerprint; generating a first health measure in response to the first NFP and user calibration parameters; sensing multi-dimensional motion of the body part of the user to generate another multi-dimensional motion signal at another time and date; in response to the another multi-dimensional motion signal, generating another neuro-mechanical fingerprint; generating another health measure in response to the another NFP and the user calibration parameters; and comparing the first health measure with the another health measure to determine a difference representing the health degradation of the user.