Embodiments herein relate to ear-worn devices and, more specifically, ear-worn devices that can measure reaction and/or reflex speeds. An ear-worn device herein can include a control circuit, a clock circuit in electrical communication with the control circuit, a motion sensor 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. The ear-worn device can be configured to initiate generation of a stimulus sufficient to generate a response from the ear-worn device wearer. The ear-worn device can be configured to monitor for a qualified response to the stimulus and measure an amount of time between the stimulus and the qualified response. Other embodiments are also included herein.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing augmented reality assistance mode functionalities. Certain embodiments utilize systems, methods, and computer program products that perform augmented reality assistance mode functionalities by using at least one of environment familiarity predictions, assistance mode triggering need determinations, and threat detection machine learning models.

A smartphone plugin determines the heart rate and the breathing rate of a user, who is either holding the smartphone in his/her hand or who has the smartphone resting on his/her chest when lying in a supine position, using only smartphone accelerometer output data and no external sensors. The smartphone is preloaded with spectral entropy to weight mapping information for each of a plurality of use cases. The plugin performs frequency domain processing on accelerometer output data to determine an estimated heart rate EHR and an estimated breathing rate EBR. The spectral entropy of accelerometer output data is determined, and is used along with an appropriate spectral entropy to weight mapping, to determine an EHR weight for each EHR value and an EBR weight for each EBR value. The weights are used to adjust the EHR and EBR values to generate more accurate heart rate and breathing rate values.

A method and system utilize unexpected combinations of cognitive exercises to provide routines performed simultaneously with aerobic exercise to address cognitive impairments. Cognitive exercises comprise specific steps in order to interact with a specific cognitive domain. All stimuli may be aural. Specific combinations of cognitive exercises are created to engage selected brain circuits and are correlated to specific cognitive impairments. The method may remediate selected cognitive impairments and strengthen cognitive abilities. The user responds to instructions for each exercise and performs each exercise in a specific order for a specific duration of time and through a specific number of sets. A processor performs a program comprising the routines and evaluates performance of a user. A program may be customized for an individual user. An individual user's data is processed to evaluate progress. Large libraries of data for multiple users may be processed to provide statistical databases.

An Internet-based disease monitoring system may include a network-based disease sensor device, which is coupled to a sensor, such as a spirometer. A remote server may be coupled to the network-based disease sensor device to provide analysis of input signals from the sensor. The remote server may be able to provide various services for grouping or handling functions relating to such input signals. A service may provide the ability to aggregate input signals from multiple sensors coupled to sensor devices and provide predictive modeling or statistical analysis, which may then be used to adjust future input signals. A service may also contain instructions how to handle billing based on usage of the network-based disease sensor device.

A first device comprises at least one amplifier. The at least one amplifier is configured to receive a plurality of sensor signals from a plurality of sensors. The at least one amplifier is configured to amplify at least two of the sensor signals to generate a plurality of amplified signals. Each of the amplified signals corresponds to one of the sensor signals. The first device comprises a plurality of modulators. Each of the modulators is configured to modulate one of the amplified signals to a distinct center frequency through employment of a Voltage Controlled Oscillator (VCO) to generate a modulated signal. The first device comprises an adder configured to create a composite signal. The composite signal comprises the modulated signal from each modulator. The composite signal is configured for transmission to a second device.

Methods for capturing medical images associated with a patient using a mobile image-capturing device are disclosed. One example method includes accessing patient identifying information through an electronic health record (EHR) application installed in the mobile image-capturing device. A user may launch a scan application installed in the mobile image-capturing device from the EHR application and upon launching of the scan application, the scan application may be provided with the patient identifying information from the EHR application. The scan application may capture medical images using an imaging equipment of the mobile image-capturing device, associate the captured images with the patient identifying information, and transmit the captured images with the patient identifying information to a storage location.

A device for monitoring a health parameter in a person is disclosed. The device includes a semiconductor substrate, at least one transmit antenna configured to transmit millimeter range radio waves over a 3D space below the skin surface of a person, multiple receive antennas configured to receive radio waves, the received radio waves including a reflected portion of the transmitted radio waves, wherein the semiconductor substrate includes circuits for processing signals received on the multiple receive antennas, wherein processing signals includes mixing signals of two different frequencies, and wherein the semiconductor substrate includes at least one output configured to output a signal that corresponds to a health parameter of a person in response to received radio waves.

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/or viral variant information, and determines an infection risk that can be communicated as a warning to the user or community members.