Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

There is provided a device for measuring fatigue of a person, the device comprising a frame configured to be worn within the mouth of the person, a microphone mounted within the frame and configured to measure sound data, and a cavity located within the frame and adjacent to the microphone, wherein the cavity does not communicate with the environment surrounding the frame. There is also provided a computer-implemented method for determining a fatigue metric representing a level of physical fatigue of a person

Disclosure is a hearing threshold and/or hearing state detection system and method. The system comprises: an acquisition and transmission system configured to transmit stimulation signals and acquire an ear canal signal; and a hearing threshold analysis and prediction system including a hearing threshold detection module, a routine testing module and/or a hearing state screening module, wherein the hearing threshold detection module determines hearing thresholds at different stimulation frequencies through a pre-trained network model; the routine testing module adaptively selects a range of test intensities through the acquisition and transmission system, and predicts hearing thresholds related to different stimulation frequencies through a pre-trained network model; and the screening module is configured to perform hearing state screening through the acquisition and transmission system and a pre-trained network model. A detection result thereof is not only accurate, but also is applicable to various demand scenarios.

A system includes a sensor configured to generate data associated with movements of a resident for a period of time, a memory storing machine-readable instructions, and a control system arranged to provide control signals to one or more electronic devices. The control system also includes one or more processors configured to execute the machine-readable instructions to analyze the generated data associated with the movement of the resident, determine, based at least in part on the analysis, a likelihood for a fall event to occur for the resident within a predetermined amount of time, and responsive to the determination of the likelihood for the fall event satisfying a threshold, cause an operation of the one or more electronic devices to be modified.

The systems, devices, and methods herein make optoacoustic measurements and correct or normalize them for variations in optical energy level of the different light pulses used. An optical source directs optical pulses to tissue, an optical energy meter measures the optical energy of the different optical pulses, an acoustic detector measures an acoustic response generated by the tissue in response to the optical pulses, and a processor calculates a concentration of an analyte based on the measured acoustic response and as corrected or normalized for the different energy levels among the optical pulses.

Methods and systems implement a variety of sensors, including in embodiments various combinations of EEG sensors, biochemical sensors, photoplethysmography (PPG) sensors, microphones, and accelerometers, to detect, predict, and/or classify various physiological events and/or conditions related to epilepsy, sleep apnea, and/or vestibular disorders. The events can include neuroelectrical events, cardiac events, and/or pulmonary events, among others. In some cases, the method and systems implement trained artificial intelligence (AI) models to detect, classify, and/or predict. The methods and systems are also capable of optimizing a treatment window, suggesting treatments that may improve the overall well-being of the patient (including improving pre- or post-event symptoms and effects), and/or interacting with various care providers.

Present invention provide a system and a method for recording, evaluating, screening and monitoring life style associated Non-communicable diseases related data of a subject via an Integrated Medical Device (IMD) in real time, and sharing the same on a server, either local or cloud based, for fast, active sharing of data by remote users anytime anywhere.

Systems and methods for monitoring food intake include an air pressure sensor for detecting ear canal deformation, according to some implementations. For example, the air pressure sensor detects a change in air pressure in the ear canal resulting from mandible movement. Other implementations include systems and methods for monitoring food intake that include a temporalis muscle activity sensor for detecting temporalis muscle activity, wherein at least a portion of the temporalis muscle activity sensor is coupled adjacent a temple portion of eyeglasses and disposed between the temple tip and the frame end piece. The temporalis muscle activity sensor may include an accelerometer, for example, for detecting movement of the temple portion due to mandibular movement from chewing.

A pleural effusion pre-screening system may be used to administer a percussive treatment to a patient's chest and/or back, sense the respiratory sounds from the percussive treatment, and analyze those respiratory sounds. The pleural effusion pre-screening system may have a high frequency chest wall oscillation (HFCWO) vest which includes at least one adjustable strap.

A toilet system comprising a bowl and an outlet, the toilet system being adapted for discerning between types of excretion excreted by a user of the toilet system, where the toilet system comprises at least one first sensor device configured to capture at least one signal indicative of a type of excretion excreted by a user of the toilet system, and at least one second sensor device configured to capture at least one signal indicative of a quantity of excretion excreted by a user of the toilet system.