Introduced here are electronic stethoscope systems designed to simultaneously monitor sounds originating from within a body under examination and the ambient environment. An electronic stethoscope system can include one or more input units that are connected to a hub unit. Each input unit may have at least one auscultation microphone and at least one ambient microphone. To improve the quality of sound recorded by an input unit, a processor can apply a noise cancellation algorithm that considers as input the audio data produced by the auscultation microphone(s) and the audio data produced by the ambient microphone(s). The audio data may be digitized directly in the input unit, and then transmitted to the hub unit for synchronization. For example, by examining the audio data produced by the ambient microphone(s), the processor may discover which digital artifacts, if any, should be filtered from the audio data produced by the auscultation microphone(s). The processor may reside within the input unit or the hub unit.

The present invention provides systems and methods for management and orchestration of a fleet of remote Internet-of-Things (IoT) devices. The present invention includes a platform for onboarding, provisioning, and managing remote IoT devices throughout their lifetime. The platform includes portals for manufacturers, vendors, and consumers to access device data and sensor data collected by the devices. The data collected by the portal is used to control the fleet of remote IoT devices as well as make recommendations, e.g., for sleep promotion and stress reduction.

Systems and methods to determine a risk factor related to dehydration and thermal stress of a subject are disclosed. Exemplary implementations may: generate output signals, by one or more sensors worn on a body of a subject, conveying information related to one or more of location of the subject, motion of the subject, temperature of the subject, cardiovascular parameters of the subject; store information related to the subject; obtain the output signals; determine in an ongoing manner, from the output signals, values of a water loss metric that correlates with estimated percentage of bodyweight of the subject lost in water; obtain heat index information for a contextual environment surrounding the subject; determine in an ongoing manner, from the output signals, values of an exertion metric that correlates with exertion of the subject due to work; and determine in an ongoing manner values for an aggregated risk factor of the subject.

A method and system for improving real-time audio, video, and sensor detection and analysis is provided. The method includes retrieving audio/video data, biometric data, and environmental data associated with associated with a user at a location. The audio/video data, biometric data, and environmental data are analyzed and based on the analysis, a current biometric state of the user is determined. The current biometric state of the user is compared to a baseline biometric state of the user and it is determined that the current biometric state comprises an elevated biometric state with respect to the baseline biometric state of the user. Self-learning software code for executing a machine based interaction modification event associated with reducing the elevated biometric state of the user is generated and the machine based interaction modification event is executed.

This invention relates to a wearable networking and activity monitoring device. According to the invention there is provided a wearable networking and activity monitoring device comprising a wearable garment, electronic circuitry comprising at least one conductive member integrally formed with the wearable garment and a network router attached to the garment, the network router configured to operatively broadcast a wireless local area network around the garment enabling a user to connect multiple mobile devices to the Internet via the wireless local area network. The wearable networking and activity monitoring device further comprising a power supply means, which is electrically coupled to the mobile network router through the electronic circuitry and allows the user of the garment to charge the mobile device, and an activity monitoring device embedded in the garment and operable to monitor activity and physiological information of the user.

A method for calculating a representation of energy expenditure, according to one embodiment, includes receiving input from multiple source, the sources including at least one sensor. An energy expenditure value is calculated based on the input. A method for utilizing real-time sensor data to guide breathing, according to one embodiment, includes receiving biometric sensor data about a user wearing a wearable device. An output is selected based on the sensor data for guiding a breathing rate and/or a breathing depth of the user. The selected output is sent to an output subsystem selected from the group consisting of an output subsystem of the wearable device and an output subsystem of a host. A different output is selected in response to detecting a change in the biometric sensor data.

An electronic device includes a light source, a light sensor, and a controller that senses an amount of a coarse ambient light by turning off the light source and performing sensing in a coarse mode by using the light sensor and senses an amount of a fine ambient light by performing sensing in a fine mode by using the light sensor. The controller senses an amount of a target light by turning on the light source and performing sensing by using the light sensor while the light source emits a light, and outputs information based on the amount of the coarse ambient light, the amount of the fine ambient light, and the amount of the target light.

An apparatus comprises a magnetic field detection circuit, a cardiac signal sensing circuit, a memory circuit, a control circuit, and an arrhythmia detection circuit. The cardiac signal sensing circuit generates a cardiac signal representative of cardiac activity of a subject when coupled to sensing electrodes. The control circuit is operatively coupled to the magnetic field detection circuit; the cardiac signal sensing circuit, and the memory circuit. The control circuit stores cardiac signal data determined using the sensed cardiac signal, receives an indication of magnetic field detection by the magnetic field detection circuit, stores data obtained using the sensed cardiac signal during the magnetic field detection, and stores an identifier indicating the magnetic field detection in association with the data. The arrhythmia detection circuit processes the cardiac signal data to detect a cardiac arrhythmia event and confirm the cardiac arrhythmia event according to the magnetic field indication.

A bed has a mattress. One or more sensors are configured to sense one or more physical phenomena of a sleeper on the bed and generate data signals based on the sensed physical phenomena; and send, to a computing system, the data signals. A computing system comprising one or more processors and computer memory. The computing system is configured to: receive the data signals; generate, from data signals of a sleep-session of the sleeper, a feature vector of features, each feature having a feature value that represents one of the physical phenomena; and classify the sleeper into a classified physical state for the sleep session based on the feature vector.

A sensor system detects a presence or concentration of an analyte in a medium. The sensor system contains a sensor having a sensor head with a chamber. The sensor head has a permeable area through which the analyte can pass into the chamber when the sensor head contacts the medium. A cross-linked hydrogel fills the chamber, the hydrogel is configured to undergo a change in volume when contacting the analyte passed into the chamber which leads to a change in pressure in the chamber. A pressure sensor is configured to measure the pressure in the chamber for detecting the presence or concentration of the analyte.