A smartphone and tympanometer-based middle ear abnormality detection mobile system and a method for detecting middle ear abnormalities by a mobile computing device coupled to a tympanometer is disclosed. The method detects middle ear abnormalities by a smartphone-based tympanometer, thereby allowing mobility for medical practitioners to check for middle ear abnormalities in people unable to visit an ENT at a medical facility. The method is implemented as a software application that runs on the mobile computing device and displays results instantly to help determine any of several types of middle ear infection which may be present. This is a huge improvement over existing process where a doctor has to make that determination based on his/her interpretation of the tympanogram.

A stimulation system includes a device programmed with user-specified routines for operation of a pulse generator, where the user-specified routines are activatable in response to information received from a source external to the pulse generator, The device includes a memory, a communication unit, and at least one processor coupled to the memory and the communication unit and configured to perform actions, including receiving, using the communication unit, information provided from the source external to the pulse generator and external to the patient, when the information meets an activation criterion for a one of the user-specified routines, activating the user-specified routine to deliver or halt delivery of stimulation to the patient according to the user-specified routine, and upon completion of the user-specified routine or meeting a termination condition, halting the user-specified routine.

The present disclosure generally relates to user interfaces for managing walking steadiness data. In some embodiments, a walking steadiness state is determined based on detected movement. When a first set of conditions are met, a notification is displayed. When a second set of conditions is met, the notification is not displayed.

An example of a system for delivering neurostimulation may include a programming control circuit and a stimulation control circuit. The programming control circuit may be configured to generate stimulation parameters controlling delivery of the neurostimulation according to a stimulation configuration. The stimulation control circuit may be configured to specify the stimulation configuration, and may include volume definition circuitry and stimulation configuration circuitry. The volume definition circuitry may be configured to determine one or more test volumes, determine a clinical effect resulting from the one or more test volumes each being activated by the neurostimulation, and determine a target volume using the determined clinical effect. The stimulation configuration circuitry may be configured to generate the specified stimulation configuration for activating the target volume.

The present specification describes systems and methods that enable the automatic detection, analysis and calculation of various processes and parameters associated with electromyography. The methods of the present specification include the automated modulation of analytical or recording states based on the nature of the signal, optimal reference fiber selection, modulating a trigger level, and determining firing parameters.

There is provided a device for assisting exercise, comprising a video providing unit configured to provide a first video data including a first exercise movement, a data obtaining unit configured to obtain a second video data based on an input relating to the first video data, a joint information extracting unit configured to extract a first joint information obtained by detecting plural skeletons from the second video data, an analyzing unit configured to obtain an analysis information based on a similarity determined by comparing the first joint information with a second joint information of the first video data and a recommendation unit configured to obtain recommendation information for recommending an exercise movement to a user based on at least one of the first video data, the second video data and the analysis information from a database including plural exercise movements may be provided according to an embodiment.

Systems and methods to monitor and track the treatment of bones using a bone correction system are provided. The method includes implanting growth modulating implants of a bone correction system in two or more bones of a patient. Each growth modulating implant includes an implant body having at least one sensor device embedded in the implant body. The method includes receiving sensor data from the sensor devices and determining an operational status of the growth modulating implants, based on the received sensor data. The method includes determining, by the processor, a longitudinal growth or growth rate between the two or more bones, based on the received sensor data and causing a display device to selectively display a graphical user interface (GUI) representative of at least one of the longitudinal growth and the growth rate of the patient.

An illustrative system includes a brain interface system configured to be worn by a user and to output brain measurement data representative of brain activity of the user while the user is engaged in an electronic messaging session provided by an electronic messaging platform and a computing device configured to obtain the brain measurement data, determine, based on the brain measurement data, a graphical emotion symbol representative of a mental state of the user while the user is engaged in the electronic messaging session, and provide the graphical emotion symbol for use during the electronic messaging session.

Millimeter (mmWave) mapping systems and methods are disclosed for generating one or more point clouds and determining one or more vital signs for defining a human psychological state. A point cloud comprising point cloud data defining a person or an object detected within a physical space is generated based on one or more mmWave waveforms of an mmWave sensor. A posture of the person within the portion of the physical space is determined from the point cloud data. One or more vital signs of the person is determined based on the mmWave waveform(s). An electronic feedback is provided representing a human psychological state of the person as defined by the point cloud data and the one or more vital signs of the person.

A method of monitoring compliance with an insulin regimen prescribed for a diabetic patient includes receiving continuous glucose monitoring (CGM) data for the patient over a period of time; determining a degree of variability in the CGM data obtained over the period of time; evaluating compliance with the prescribed insulin regimen based at least in part on the degree of variability in the CGM data that is determined; and responsive to the evaluating, causing at least one action to be performed to facilitate a change in patient behavior that increases compliance with the prescribed insulin regimen when compliance is determined to be less than required to optimize therapeutic treatment of diabetes in the diabetic patient.