A method of distinguishing sleep period states that a person experiences during a sleep period, the method comprising: using a non-contact microphone to acquire a sleep sound signal representing sounds made by a person during sleep; segmenting the sleep sound signals into epochs; generating a sleep sound feature vector for each epoch; providing a first model that gives a probability that a given sleep period state experienced by the person in a given epoch exhibits a given sleep sound feature vector; providing a second model that gives a probability that a first sleep period state associated with a first epoch transitions to a second sleep period state associated with a subsequent second epoch; and processing the feature vectors using the first and second models to determine a sleep period state of the person from a plurality of possible sleep period states for each of the epochs.

A system and method are provided for collection and testing of a biologic sample in a self-diagnostic test. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects include a mobile application operating on a mobile device with which the user interacts. These aspects allow advertisements and other messages to be presented to the user through the mobile application. Some aspects present different messages to the user based on the type of self-diagnostic test the user is conducting.

A system for acquiring physiological data from a patient, the system comprising: a smartphone configured for wireless communication; an adapter for releasably mounting to the smartphone; a sensor module for releasably mounting to the adapter, the sensor module comprising at least one sensor for acquiring physiological data from the patient; and a software app running on the smartphone for (i) wirelessly controlling operation of the sensor module and wirelessly receiving the physiological data from the sensor module, and (ii) wirelessly communicating with a remote location.

Methods for training a model for use in monitoring a health parameter in a person are disclosed. In an embodiment, a method involves monitoring a blood pressure of a person using a control blood pressure monitoring system, receiving control data that corresponds to the monitoring using the control blood pressure monitoring system, receiving stepped frequency scanning data that corresponds to radio waves that have reflected from blood in a blood vessel of the person, wherein the stepped frequency scanning data is collected through multiple receive antennas over a range of frequencies, generating training data by combining the control data with the stepped frequency scanning data in a time synchronous manner, and training a model using the training data to produce a trained model, wherein the trained model correlates stepped frequency scanning data to values that are indicative of a blood pressure of a person.

An apparatus includes a sensor configured to capture an image of an affected part, and a processor configured to obtain information about a size of the affected part in the captured image, and control timing to capture an image of the affected part or control timing to prompt a user to perform an imaging operation based on the information about the size of the affected part.

Systems and methods for assisting user with hearing by amplifying sound using an amplifier with gain and amplitude controls for a plurality of frequencies; and applying a learning machine to identify an aural environment and adjust the amplifiers for optimum hearing.

An apparatus for diagnosis of ocular surface disease includes an electronic tablet with an electronic display and a forward-facing camera. The camera may be placed above the screen when the device is held in landscape mode. A software app executing on the electronic tablet displays a test screen to a patient, the test screen comprising a test image and an alignment indicator. Once alignment is achieved, the patient may read the test image for a period of time, during which blink quality and quantity are tabulated. A video recorded during the test may be reviewed by a physician to confirm or modify blink quality and quantity counts during the test to diagnose ocular surface disease.

Provided is a photoplethysmogram (PPG) sensing module including one or more light sources that emit light to a user; a plurality of optical sensors that receive reflected light from the user and generate sensing signals, each of the sensing signals being generated by one of the optical sensors; a read-out signal generating circuit that receives the sensing signals from the optical sensors and generate read-out signals by performing an analog-to-digital conversion on the sensing signals; and a signal processing circuit that receives the read-out signals, classifies the read-out signals according to one or more movement patterns of the user, measures a movement component of the user based on the classified read-out signals, and generates a PPG signal in which the movement component is removed.

Disclosed herein is a device comprising a user interface. The device is configured for facilitating correcting of a posture of a user based on an interaction between the user and the device through the user interface. Further, the device comprises at least one sensor configured for generating sensor data based on a spatial attribute of the device in relation to the user. Further, the device comprises a processing device configured for comparing the sensor data based on at least one predetermined criterion of the spatial attribute and generating a command based on the comparing of the sensor data. Further, the device comprises a storage device configured for storing the at least one predetermined criterion. Further, the device comprises an output indication device configured for generating at least one indication based on the command.

Computer-implemented methods for providing interactive electronic treatment assistance for benign prostatic hyperplasia and advanced prostate cancer are disclosed. The methods can include automatically sending, by a disease and disorder treatment device, an electronic pathway sign-up link to a smart mobile device. The method can include sending a plurality of inquiries about the BPH condition and/or the advanced prostate cancer condition, to the smart mobile device. The method can include receiving a plurality of patient responses from the smart mobile device. The method can include processing and storing the plurality of patient responses. The method can include providing, by the disease and disorder treatment device, patient education about various treatment therapies for advanced prostate cancer. The method can include automatically monitoring a patient having the advanced prostate cancer condition during the various treatment therapies. The method can include intervening with the various treatment therapies using the smart mobile device.