A method of detecting a cough in an audio stream includes a step of performing one or more pre-processing steps on the audio stream to generate an input audio sequence comprising a plurality of time-separated audio segments. An embedding is generated by a self-supervised triplet loss embedding model for each of the segments of the input audio sequence using an audio feature set, the embedding model having been trained to learn the audio feature set in a self-supervised triplet loss manner from a plurality of speech audio clips from a speech dataset. The embedding for each of the segments is provided to a model performing cough detection inference. This model generates a probability that each of the segments of the input audio sequence includes a cough episode. The method includes generating cough metrics for each of the cough episodes detected in the input audio sequence.

A biological information measuring apparatus includes a first electrode provided in contact with a user's external auditory canal and a second electrode provided in contact with the user's concha cavum.

In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may determine that a user is in a presence of an information handling system (IHS); determine a digital image of a face of the user; determine an angle of the face of the user with respect to a vertical axis of a camera based at least on the digital image; determine that the face is facing a display associated with the IHS; determine an amount of time, which the user spends looking at the display; determine, via multiple sensors associated with the IHS, a heart rate and a respiratory rate associated with the user; determine that the user should move based at least on the first amount of time, the heart rate, the respiratory rate, and the angle; and display information indicating that the user should move.

A testing system for conducting electrochemistry analysis of a specimen sample is provided. The testing system includes a testing receptacle device and a diagnostic device. The testing receptacle device includes a receptacle having an interior space defined therein and a lid configured to be secured on an upper end of the receptacle. The lid includes an opening extending into the receptacle and a cartridge slot for receiving a test sensor cartridge having a functionalized electrode strip with an electrode well contact point provided thereon. The diagnostic device is configured as a potentiostat or similar device and includes a docking port for receiving a lower end of the testing receptacle device. The testing system is configured for receiving a specimen sample through the opening in the receptacle lid and placing the specimen sample in contact with the electrode well contact point of the functionalized electrode strip.

Processing generated sensor data of a mobile deep vein thrombosis (DVT) device may include identifying use of the mobile DVT device corresponding to a user. Sensor data associated with the user's identified use of the mobile DVT device may be generated. At least some of the generated sensor data may comprise ambulation data associated with a duration of ambulation during use of the mobile DVT device by the user. A protocol associated with ambulation of the mobile DVT device may be processed. The generated ambulation data and the protocol associated with ambulation during use of the mobile DVT device may be correlated. Based on correlating the generated ambulation data and the protocol, an alert associated with the generated ambulation data and the protocol may be generated.

The present invention provides a computer-implanted method and system for diagnosing sudden sensorineural hearing loss (SSNHL) of an ear in a subject; comprising on one or more processors of the computer the steps of: testing the hearing of two ears of the subject, and calculating the difference between them; and comparing the difference with a threshold to diagnose the subject as SSNHL or not.

A method for analyzing face information in an electronic device is provided. The method includes detecting at least one face region from an image that is being captured by a camera module, zooming in the at least one detected face region, and analyzing the at least one detected and zoomed in face region according to at least one analysis item.

An apparatus for estimating body temperature of an object is provided. The apparatus for estimating body temperature includes: a sensor configured to obtain spectra through a plurality of light paths of an object; and a processor configured to obtain a temperature slope between temperatures corresponding to the plurality of light paths based on the spectra of the plurality of light paths and a reference spectrum measured at a reference temperature, and estimate the body temperature of the object based on the temperature slope.

An apparatus including a set of virtual reality goggles affixable to a patient is provided. The set of virtual reality goggles includes two central lenses employed to be positioned over the patient's eyes, securing means configured to secure a computing device to the set of virtual reality goggles, and means for determining a distance between the patient's eyes and the computing device. The set of virtual reality goggles is employable to test visual and/or mental attributes of the patient.

An electronic device is provided. The electronic device includes a housing, a touch screen display to be exposed through a first portion of the housing, a motion sensor disposed inside the housing, a photoplethysmography (PPG) sensor disposed in a second portion of the housing, a processor operatively coupled to the display, the motion sensor, and the PPG sensor, and a memory operably coupled to the processor. The memory stores instructions that allow, when executed, the processor to receive first data from the motion sensor, identify whether a user has started exercise based on at least a portion of the first data, receive second data from the PPG sensor after identifying whether or not the user has started exercise, and determine the type of exercise of the user based on at least a portion of the first data and the second data.