A method and system for activity classification. A pressure sensor receives input data resulting from physical activity of a subject performing an activity. The input data includes pressure data from at least one pressure sensor, and may include other data acquired through other types of sensors. A deep learning neural network is applied to the input data for identifying the activity. The neural network is trained with reference to training data from a training database. The training data may include empirical data from a database of previous data of corresponding activities, synthesized data prepared from the empirical data or simulated data. The training data may include data from physical activity of the subject being monitored by the system. Different aspects of the neural network may be trained with reference to the training data, and some aspects may be locked or opened depending on the application and the circumstances.

The present invention discloses a device for acquiring a functional image of tissue and a method for acquiring a functional image by using same, the device comprising: a light source for irradiating a tissue to be imaged with coherent light; an image acquisition unit for acquiring an image of a speckle pattern which is formed by scattering the light emitted from the light source over the tissue, and acquiring multiple images having different exposure times; an image processing unit for generating a functional image of the tissue on the basis of the multiple images acquired by the image acquisition unit; and a control unit for adjusting the light quantity of the light emitted to the tissue such that the multiple images having different exposure times have brightness values in a common range, and controlling the operation of the image acquisition unit.

A wearable device includes a housing with a window and an electronic module supported by the housing. The electronic module includes a photoplethysmography sensor, a motion sensor, and a signal processor that processes signals from the motion sensor and signals from the photoplethysmography sensor. The signal processor is configured to remove frequency bands from the photoplethysmography sensor signals that are outside of a range of interest using a band-pass filter to produce pre-conditioned signals, and to further process the pre-conditioned signals using the motion sensor signals to reduce motion artifacts from footsteps during subject running. The device includes non-air light transmissive material in optical communication with the photoplethysmography sensor and the window that serves as a light guide for the photoplethysmography sensor. The window optically exposes the photoplethysmography sensor to a body of a subject wearing the device via the non-air light transmissive material.

The present invention is directed to a wearable system wherein elements of the system, including various sensors adapted to detect biometric and other data and/or to deliver drugs, are positioned proximal to, on the ear or in the ear canal of a person. In embodiments of the invention, elements of the system are positioned on the ear or in the ear canal for extended periods of time. For example, an element of the system may be positioned on the tympanic membrane of a user and left there overnight, for multiple days, months, or years. Because of the position and longevity of the system elements in the ear canal, the present invention has many advantages over prior wearable biometric and drug delivery devices.

A method of controlling an insulin infusion device involves controlling the device to operate in an automatic basal insulin delivery mode, obtaining a blood glucose measurement for the user, and initiating a correction bolus procedure when: the measurement exceeds a correction bolus threshold value; and a maximum basal insulin infusion rate is reached during the automatic basal insulin delivery mode. The correction bolus procedure calculates an initial correction bolus amount, and scales the initial amount to obtain a final correction bolus amount, such that a predicted future blood glucose level resulting from simulated delivery of the final correction bolus amount exceeds a low blood glucose threshold level. The final amount is delivered to the user during operation in the automatic basal insulin delivery mode.

Method, device and system for providing consistent and reliable glucose response information to physiological changes and/or activities is provided to improve glycemic control and health management.

The present disclosure provides systems and methods for predicting a disease state of a subject using ultrasound imaging. The method includes identifying at least one quantitative measurement of a subject using ultrasound imaging, the at least one quantitative measurement included as part of quantitative information of the subject gathered based on the ultrasound imaging, comparing the at least one quantitative measurement to a first predetermined standard to determine a first initial value, the first predetermined standard falling within a first range of quantities, identifying at least one qualitative measurement of the subject using the ultrasound imaging, the at least one qualitative measurement included as part of qualitative information of the subject gathered based on the ultrasound imaging, comparing the at least one qualitative measurement to a second predetermined standard to determine a second initial value, the second predetermined standard falling within a second range of quantities; and correlating at least the quantitative information and the qualitative information using the first initial value and the second initial value to determine a final value that is used in predicting a disease state of the subject.

Systems and methods for a microfluidic biosensor patch and health monitoring system may include an iontophoresis module, a multi-inlet microfluidic sweat collection and sampling module, and a molecularly imprinted polymer (MIP) organic compound sensor module. An iontophoresis module may provide for stimulation of a biofluid sample. A biofluid may be a sweat sample. Stimulation may be achieved via electrostimulation and/or application of a stimulating agent. A microfluidic sweat collection and sample module may include several adhesive layers with carefully designed inlets, channels, a reservoir, and an outlet for the efficient collection and sampling of biofluid. A MIP sensor module may quickly and accurately identify concentrations of key metabolites present in a biofluid sample which may indicate certain health conditions.

A calorie estimation apparatus and method that analyze a user's skin spectrum to determine calories of food and drink that the user has ingested are provided. The calorie estimation apparatus includes a spectrum measurer configured to measure a skin spectrum of a user; and a processor configured to determine a noise of the measured skin spectrum, and estimate calories consumed by the user based on the determined noise.

Devices, systems, and methods can be used to suggest a discovery to an individual related to their health and wellness, including receiving data about the individual from a user interface regarding a goal for the individual, querying the individual regarding their perception of the goal, determining, a likely state of the individual (e.g., readiness to change), and selecting a subset of discoveries to display to the individual from a database that correspond to both the goal for the individual and the likely state of the individual. Displaying information may include receiving motion data including duration of motion, classifying a type of activity the individual is engaged in based on the motion data and likely intensity of the activity, and displaying a graphical user interface including a color spectrum, depending on one of the type of activity, intensity of the activity, or duration of the activity.