A method for predicting the presence of a malady of the respiratory system in a subject comprising: operating at least one electronic processor to transform one or more sounds of the subject that are associated with the malady into corresponding one or more image representations of said sounds; applying said one or more representations to at least one pattern classifier trained to predict the presence of the malady; and operating said processor to predict the presence of the malady in the subject based on at least one output of the at least one pattern classifier.

A method for visualizing and targeting anatomical structures inside a patient utilizing a handheld screen device may include grasping the handheld screen device and manipulating a position of the handheld screen device relative to the patient. The handheld screen device may include a camera and a display. The method may also include orienting the camera on the handheld screen device relative to an anatomical feature of the patient by manipulating the position of the handheld screen device relative to the patient, capturing first image data of light reflecting from a surface of the anatomical feature with the camera on the handheld screen device, and comparing the first image data with a pre-operative 3-D image of the patient to determine a location of an anatomical structure located inside the patient and positioned relative to the anatomical feature of the patient.

A skin measuring microscope includes a housing, an electronic imager disposed along an imaging axis, and an illumination system. The illumination system includes a plurality of LEDs disposed in a ring-like configuration adjacent a distal end of the housing.

A CPU of a health management apparatus functions as an acquisition unit, a first derivation unit, and a screen output control unit. The acquisition unit acquires a body-fat percentage which is an obesity parameter indicating the degree of obesity of a target pet and bone density which is a bone parameter indicating the degree of bone strength of the target pet. The first derivation unit derives health conditions of the target pet on the basis of a correlation between the body-fat percentage and the bone density. A screen output control unit performs control to output a medical examination result display screen on which the health conditions are displayed.

Described are systems for beds that can include sensors for sensing physical phenomena in an environment surrounding a bed, a display for outputting information about the environment, the bed, and a sleeper, and a controller communicably coupled to the sensors. The controller can receive the sensed physical phenomena from the sensors, analyze the physical phenomena to determine at least one of environmental, sleep, and health metrics of a sleeper in the bed, and determine, based on at least one of the environmental, sleep, and health metrics of the sleeper, control signals to modify the environment surrounding the bed. The controller can also output, at the display, the environmental, sleep, and health metrics of the sleeper. The controller can also transmit the control signals to a second controller in order to engage a home automation device. The physical phenomena can include ambient sound, ambient light, ambient CO2 concentration, and/or ambient temperature.

A radio frequency (RF) front end device has a signal traveling from a first antenna to a second antenna in an uplink path and a signal traveling from a third antenna to a fourth antenna in a downlink path. The device is under the control of automatic on/off controller (AOOC) which upon receiving a signal indication from a receive signal detector and amplifier (RSDA) turns on the operations of power amplifier (PA) and simultaneously turns off a low noise amplifier (LNA). This LNA is turned off when the power amplifier is turned on to prevent uplink path and downlink path forming a feedback loop which would result in oscillation, noise and interference.

An ear examination tool comprises a handle and a speculum mount coupled to the handle. The speculum mount is configured for retaining a disposable speculum. An spacing element is coupled to the handle and extends from the handle. A smartphone mount is coupled to the spacing element, and the spacing element is configured to maintain an optical separation distance between the speculum mount and the smartphone mount. The tool enables a clear view of the ear canal while allowing access by, and manipulation of, a microsuction tool being inserted into the ear canal. The extensive optical and data processing functionality of a “smartphone” can be integrated at low cost into an ear examination tool to provide a substantially improved piece of equipment for assisting in ear examination and microsuction of the ear.

A method for estimating a likelihood of a stroke condition of a subject, the method comprising: acquiring clinical measurement data pertaining to said subject, said clinical measurement data including at least one of image data, sound data, movement data, and tactile data; extracting from said clinical measurement data, potential stroke features according to at least one predetermined stroke assessment criterion; comparing said potential stroke features with classified sampled data acquired from a plurality of subjects, each positively diagnosed with at least one stroke condition, defining a positive stroke dataset; and determining, according to said comparing, a probability of a type of said stroke condition, and a probability of a corresponding stroke location of said stroke condition with respect to a brain location of said subject.

The present disclosure relates to technology for estimating bio-information by using a foldable electronic device. The foldable electronic device includes a main body part, having a first main body and a second main body, configured to fold along a folding line; a first sensor provided on the first main body, and configured to obtain a contact image of an object of a user; a second sensor provided on the first main body, and configured to measure a degree of folding of the main body part; and a processor configured to estimate bio-information of the user, based on the contact image of the object and the degree of folding.

Systems and methods described provide dynamic and intelligent ways to change the required level of user interaction during use of a monitoring device. The systems and methods generally relate to real time switching between a first or initial mode of user interaction and a second or new mode of user interaction. In some cases, the switching will be automatic and transparent to the user, and in other cases user notification may occur. The mode switching generally affects the user’s interaction with the device, and not just internal processing. The mode switching may relate to calibration modes, data transmission modes, control modes, or the like.