A system adapted to assisting patients manage asthma includes a wearable sensor for detection of asthma symptoms and inhaler use, having a microphone capable of generating an electrical signal indicative of asthma symptoms or inhaler use; a processor with firmware adapted to process the electrical signal to determine potential asthma symptoms and inhaler use; and store the electrical signal in the memory when the electrical signal potentially corresponds asthma symptoms or inhaler use. In particular embodiments, the system includes an electronic asthma diary including detected asthma symptoms and detected inhaler usage, both with timestamps, and a prescribed treatment protocol. Protocol firmware processes detected asthma symptoms an inhaler usage recorded in the asthma diary to determine if asthma is controlled, and if asthma is not determined controlled determines if a treatment change is authorized; if treatment change is authorized the treatment change is displayed in human-readable form.

A first electronic device includes an interface; microphone circuitry; memory circuitry; and processor circuitry. The first electronic device is configured to discover, via the interface, a first wireless network. The first electronic device is configured to receive, via the interface, from a second electronic device discovering the first wireless network, a voice biometric indicative of a second user. The first electronic device is configured to activate the microphone circuitry to detect an input audio signal. The first electronic device is configured to determine whether the detected input audio signal satisfies one or more criteria. The first electronic device is configured to, when the detected input audio signal satisfies the one or more criteria, determine a parameter indicative of a level of risk of exposure; and generate, based on the parameter, contact data.

An approach for enhancing a workplace environment is provided. Environmental information about the workplace environment is obtained from a plurality of internet of things (IoT) device sensors. Based on the environmental information, a digital twin of the workplace environment is created. The digital twin is evaluated over time using a cognitive system to identify a deficiency in the workplace environment using continuous learned data. Based on the evaluation, an area of an avatar-based version of the digital twin that contains a graphical change in the digital twin containing a suggested improvement that addresses the deficiency in the workplace environment is highlighted.

Systems for processing a sample are disclosed. The systems include an inlet for receiving the sample comprising target molecules, a filter in fluid communication with the inlet, and an outlet in fluid communication with the filter. The filter is configured to break down the target molecules in the sample and produce breakdown products. The outlet is configured to deliver the breakdown products to a detector.

Presented are concepts for monitoring cardio-respiratory function of a patient. One such concept comprises detecting light or sound from the sublingual vasculature using a sublingual sensor unit adapted to be positioned at a sublingual vasculature of the patient's tongue and to generate a sensor output signal based on the detected light or sound. A processing unit adapted to receive at least one of the sensor unit output signal, wherein the sensor unit and the processing unit are arranged to analyze the venous component in the sensor output signal. An output signal from the sublingual sensor may then be used to provide information on cardio-respiratory parameters like respiration rate and respiration rate variability, for example.

A breath analyzer for detecting breathing events of a person ventilated with a respiratory gas, comprising an electronic computing and storage unit configured to receive a signal corresponding to a ventilation pressure and/or a respiratory flow and/or a tidal volume of the respiratory gas delivered to the person and, during a predetermined analysis duration, to detect a curve of the signal by a curve analyzer. A ventilator for ventilating a person with a respiratory gas, which ventilator comprises the breath analyzer and a method for detecting breathing events of a person ventilated with a respiratory gas is also described.

Scalable, configurable, universal, complete spectrum sensor data analyzing machines are provided that make selected determinations from a complete spectrum of cyber determinations regarding or utilizing sensor observations or sensor observation subjects. Analyzing machines utilize necessary resources and predetermined criteria in their making of selected cyber determinations. Analyzing machines utilize measure points in their accurate locating of selected analytically rich aspects, characteristics, or features of or from sensor observation-derived representations, analyzing machines assign appropriate informational representations to selected analytically rich aspects, characteristics, features, or measure points, which are stored in concise datasets where they can be utilized in real-time or thereafter by analyzing machines in their making of selected cyber determinations regarding or utilizing sensor observations or sensor observation subjects. Analyzing machines are configurable for being utilized, in whole or part, as touchless user interfaces, 100% accurate, constantly performed cyberspace identity tests, or universal health metrics monitors.

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.

An infant care apparatus includes a piezoelectric sensor and an infrared array sensor. The piezoelectric sensor senses a respiration rate and a heart rate of an infant. The infrared array sensor senses a body temperature and an occupancy state of the infant in a non-contact manner. The abovementioned infant care apparatus can assist in determining an abnormality of the respiration rate and the heart rate of the infant based on the occupancy state of the infant output by the infrared array sensor, so as to reduce a false alarm rate.

A computer-implemented method for determining lung pathology from an audio respiratory signal comprises inputting a plurality of audio files comprising a training set into an artificial neural network (ANN), wherein the plurality of audio files comprise sessions with patients with known pathologies of known degrees of severity. The method further comprises annotating the plurality of audio files with metadata relevant to the patients and the known pathologies and analyzing the plurality of audio files, wherein the analyzing comprises extracting spectrograms for each of the plurality of audio files and a plurality of descriptors associated with wheeze and crackle from the plurality of audio files. Additionally, the method comprises training the ANN using the plurality of audio files, the spectrograms, the metadata and the plurality of descriptors. The method finally comprises determining a lung pathology associated with a new sound recording inputted into the ANN.