Devices and methods are provided for non-invasive goal oriented and personalized monitoring of substance consumption directed towards aiding reduction of substance intake by a user. Based on the substance consumption characteristics and the user's profile, the user's substance consumption profile is identified and average amount of the substance in the body at a given time is computed. A threshold corresponding to amount of substance the body can sustain is then computed based on goals set by the user and the substance consumption characteristics and the user's profile. Alerts can be generated and transmitted to the user based on pre-determined conditions to help the user achieve his set goals.

A portable system is provided for measuring a ketone, such as an acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding ketone measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user. The application tracks, and generates graphs of, the ketone measurements, and may include various features for facilitating the analysis of the measurements.

A system for assessing extubation includes a respiratory assistance device, an artificial intelligence platform, and a hospital information system. The respiratory assistance device is adapted to communicate with a trachea of a patient. The artificial intelligence platform includes a prediction module. A method for assessing extubation includes the following steps. Measured values of respiratory parameters of the patient are recorded by the respiratory assistance device. The recorded times and the measured values of the respiratory parameters corresponding to each of the recording times are transmitted to the artificial intelligence platform. The prediction module analyzes the measured values of respiratory parameters within a predetermined time period according to a prediction model to generate a prediction result. The prediction result is transmitted to the hospital information system and is recorded into a medical record of the patient. With such design, a reference for extubation assessment that is more accurate is provided.

The present invention is related to the field of bio/chemical sensing, assays and applications. Particularly, the present invention is related to collecting a small amount of a vapor condensate sample (e.g. the exhaled breath condensate (EBC) from a subject of a volume as small as 10 fL (femto-Liter) in a single drop), preventing or significantly reducing an evaporation of the collected vapor condensate sample, analyzing the sample, analyzing the sample by mobile-phone, and performing such collection and analysis by a person without any professionals.

Systems for a drone data storage or data locker system include an unmanned aerial vehicle, or drone, which includes sensors, including an imaging sensor, a communications interface, and a memory storing identity data associated with one or more users and observation data associated with the one or more users which is collected on a continuous basis. The drone may navigate to an area including individuals, and obtain, using the sensors, sensor data corresponding to the individuals. The drone may determine, based on the obtained sensor data and the identity data, that one of the individuals corresponds to identity data of a user stored in the memory. The drone may determine that the user corresponding to the identity data requires medical assistance, using the sensors. The drone may transmit health data associated with the user corresponding to the identity data, which may be used to administer care to the user.

A system for detecting EFL of a patient is provided. The system comprises an inhalation passage; an exhalation passage; a sensor for measuring flow-volume information of the exhaled air through an exhalation passage; a flow resistor positioned in the exhalation passage and being adjustable to provide an exhalation resistance in the exhalation passage; and a computer system. In one embodiment, one or more physical processors of the computer system are programmed with computer program instructions which, when executed cause the computer system to: determine a reference expiratory flow-volume curve using flow-volume information of the exhaled air through the exhalation passage when a reference exhalation resistance is provided by the flow resistor in the exhalation passage; and determine a perturbed expiratory flow-volume curve using flow-volume information of the exhaled air through the exhalation passage when a lowered exhalation resistance is provided by the flow resistor in the exhalation passage.

Systems for a drone data storage or data locker system include an unmanned aerial vehicle, or drone, which includes sensors, including an imaging sensor, a communications interface, and a memory storing identity data associated with one or more users and observation data associated with the one or more users which is collected on a continuous basis. The drone may navigate to an area including individuals, and obtain, using the sensors, sensor data corresponding to the individuals. The drone may determine, based on the obtained sensor data and the identity data, that one of the individuals corresponds to identity data of a user stored in the memory. The drone may determine that the user corresponding to the identity data requires medical assistance, using the sensors. The drone may transmit health data associated with the user corresponding to the identity data, which may be used to administer care to the user.

The present invention is related to the field of bio/chemical sensing, assays and applications. Particularly, the present invention is related to collecting a small amount of a vapor condensate sample (e.g. the exhaled breath condensate (EBC) from a subject of a volume as small as 10 fL (femto-Liter) in a single drop), preventing or significantly reducing an evaporation of the collected vapor condensate sample, analyzing the sample, analyzing the sample by mobile-phone, and performing such collection and analysis by a person without any professionals.

Devices and methods are provided for non-invasive goal oriented and personalized monitoring of substance consumption directed towards aiding reduction of substance intake by a user. Based on the substance consumption characteristics and the user's profile, the user's substance consumption profile is identified and average amount of the substance in the body at a given time is computed. A threshold corresponding to amount of substance the body can sustain is then computed based on goals set by the user and the substance consumption characteristics and the user's profile. Alerts can be generated and transmitted to the user based on pre-determined conditions to help the user achieve his set goals.

Brain activity, and in particular which hemisphere is relatively more effective, is correlated with the dominant nostril (i.e., the nostril through which most of the air is exhaled when breathing through the nose). Thus, identifying which of the nostrils is dominant may have various applications. Described herein are systems and methods for identifying the dominant nostril. In one embodiment, a system includes at least one inward-facing head-mounted thermal camera (CAM) and a computer. The at least one CAM does not occlude any of the user's mouth and nostrils and is used to take thermal measurements of first and second regions below the right and left nostrils (TH.sub.ROI1 and TH.sub.ROI2, respectively). The computer identifies the dominant nostril based on TH.sub.ROI1 and TH.sub.ROI2. Optionally, the computer detects, utilizing TH.sub.ROI1 and TH.sub.ROI2, the three-dimensional (3D) shape of the exhale stream from at least one of the nostrils.