A system for and a method of analyzing a corneal lesion using an anterior segment image according to the present invention. The system includes: an image acquisition unit configured to acquire an anterior segment image from the eyeball of a subject, a feature extractor configured to extract feature information on a position and a cause of a lesion in the cornea from the anterior segment image by applying a convolution layer to the anterior segment image through machine learning on the basis of a database in which clinical information pre-acquired by analyzing positions and causes of lesions in the corneas of subjects is stored; and a result determination unit configured to identify a position of the cornea from the anterior segment image using the feature information and to analyze and determine the position and the cause of the lesion in the cornea from the position of the cornea.

Provided are chewing information storage means that stores information about chewing quality, muscle activity obtaining means that obtains a muscle activity signal of masticatory muscle of a person, analysis means that frequency-analyzes the muscle activity signal obtained by the muscle activity obtaining means, and analyzes chewing behavior based on the frequency-analyzed muscle activity signal, quality determination means determines quality of the chewing behavior based on information of the chewing behavior analyzed by the analysis means, and extraction means that extracts assistance information corresponding to the chewing quality determined by the quality determination means, from chewing information storage means.

Emotional loneliness is referred as the absence of an attachment figure in one’s life and someone to turn to. The existing methods use installation of sensors for tracking the movement, behaviour and activity of the person, but most of the efforts are obtrusive in nature. A non-obtrusive method and system for detection of emotional loneliness of a person have been provided. The disclosure is utilizing multiple varied techniques to understand the emotional loneliness. The multiple techniques comprise room change movement anomalies, living room stay anomalies, correlating the living room stay with the bedroom stay and outdoor movement anomalies. The methodology also ensures reduced variance and false positives, as emotional loneliness is finally determined based on more than two positives of above methods. The detection of person’s movement is done using a featured engineered dataset based on collection of raw time series data collected from a plurality of motion sensors.

According to an embodiment, a method of processing acceleration information by a wearable device is provided, the method including: acquiring the acceleration information indicating acceleration according to movement of the wearable device; acquiring a plurality of acceleration characteristics including a plurality of characteristics of a power spectrum of the acceleration and a range of the acceleration on the basis of the acceleration information; determining characteristic values according to two characteristics determined according to a type of a disease to be monitored among the plurality of acceleration characteristics; and providing an alarm signal in response to the characteristic value falling within an abnormality range.

A system for determining characteristics of tissue within a body of a patient may include a medical device. The medical device may include a distal end configured to be advanced within the body of the patient; at least one aperture at the distal end; a laser emitter operable to emit monochromatic light out from the distal end via the at least one aperture and onto target tissue; and at least one photodetector array. The at least one photodetector array may be configured to: receive light incident on the at least one aperture that is one or more of scattered by or reflected from the target tissue; and generate Raman spectroscopy image data based on monochromatic light incident on the at least one aperture, the Raman spectroscopy image data including an array of intensity values.

A chatbot capable of empathic engagement with a user is disclosed. An identified trend in a user's mood or goals between a first time and a second time can be associated with open input (e.g., open text string input) from the user. As the user's mood or goals continue to be tracked, a subsequent trend can be identified that is the same as, similar to, different from, or opposite to the first identified trend. The user can then be automatically engaged based on the open input associated with the first identified trend. In an example, a user may input thoughts or reasons why they have been having a positively trending mood over a duration of time. The chatbot can then repeat or otherwise use those same thoughts or reasons to engage the user empathically when the chatbot detects that the user is experiencing a negatively trending mood.

A system has a plurality of diagnostic sensors and a first computing device interconnected to the plurality of diagnostic sensors for: commanding the plurality of diagnostic sensors to collect diagnostic data from a patient, determining if each of the plurality of diagnostic sensors are positioned at respectively predefined body locations of the patient, combining the collected diagnostic data for analysis when all of the plurality of diagnostic sensors are positioned at respectively predefined body locations of the patient, and prompting the patient to reposition at least one of the plurality of diagnostic sensors when the at least one sensor is determined as being mis-positioned from the corresponding predefined body location.

A headset comprise a frame and a vibration sensor coupled to the frame. The vibration sensor may be located in a nosepad of the frame, and configured to measure tissue vibrations of a user when the headset of worn by the user. A controller receives a signal corresponding to the measured vibration data from the vibration sensor, and analyzes the received signal to infer a sequence of states of the received signal, such as a sequence of respiratory states. The controller further determines a value of a health metric based upon the inferred sequence of states, e.g., a respiratory rate of the user, and performs an action using the determined value of the health metric.

A system for analyzing effects of mineral crystals to a human body and the method for performing the system comprises a helmet, a brainwave; a brainwave transceiver; a processor unit. The processor unit includes a processor transceiver, a brainwave calculating unit, a testing person database, a physiological and psychological effect database, a brainwave comparison module. In test, a specific mineral crystal is located in different distance from a testing person to test effects of the mineral crystal to the testing person; the testing person wears the helmet and the brainwave transceiver transmits measured brainwaves to the processor unit; and then the processor unit calculates statistical data about the brainwaves, and from the physiological and psychological effect database, effects of the mineral crystal to the testing person can be determined.

Embodiments herein relate to devices and methods for assessing deep tissue temperature using optical sensing. In an embodiment an optical temperature monitoring device is included having an optical emitter, wherein the optical emitter is configured to emit light at a first wavelength from 100 nm to 2000 nm. The optical temperature monitoring device also includes an optical detector configured to detect incident light. The optical temperature monitoring device can be configured so that the light from the optical emitter propagates at a depth of at least 1 cm through tissue as measured from a surface of the optical temperature monitoring device and back to the optical detector and the incident light detected by the optical detector is used to determine a temperature of the tissue at depths of at least 1 cm as measured from a surface of the optical temperature monitoring device. Other embodiments are also included herein.