Provided is a film-type biomedical signal measuring apparatus configured in a such a way that a plurality of metallic thin film electrodes and a circuit unit are formed on a film-type piezoelectric element so as to easily attach the apparatus to the skin and an electrical signal as well as an electrical signal of a human body is simultaneously measured using the plurality of metallic thin film electrodes and the circuit unit. Accordingly, the film-type biomedical signal measuring apparatus simultaneously measures electrocardiogram (ECG) and ballistocardiogram (BCG) from the simultaneously measured electrical signal and vibration signal of the human body and extracts biomedical information of various types of health indexes such as a heart rate, a stress index, BCG, a blood pressure, an amount of physical activity, a respiration rate, and VO.sub.2max from the two different biomedical signals.

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.

A method includes a first acquisition step of acquiring exercise intensity of exercise done by a target person, a second acquisition step of acquiring an electrocardiographic waveform of the target person who does the exercise, a third acquisition step of acquiring a predetermined feature amount from the acquired electrocardiographic waveform, and an estimation step of estimating an AT of the target person based on a relationship between the predetermined feature amount and the acquired exercise intensity. The estimation step includes a step of estimating the AT of the target person based on exercise intensity corresponding to an inflection point in a change of the predetermined feature amount with respect to the acquired exercise intensity.

Techniques for measuring metabolic tissue state and oxygenation in human or animal models, through optical techniques capable of simultaneous measurement at single region of interest. Simultaneously measuring CCO, oxygenated hemoglobin (HbO), and deoxygenated (HbR) hemoglobin is performed and metabolic activity of the tissue is determined. The methods employ a super-continuum light source and a probe to deliver light to the individual, and reflected light from the individual is analyzed to determine the metabolic function of the individual.

A food portioning system may include a food plate body and a scale associated with the food plate body to sense a weight of food carried thereby. The system may also include wireless communications circuitry coupled to the scale, and a mobile wireless communications device associated with a given user. The mobile wireless communications device may be configured to obtain a user-selected food recipe from the given user, obtain user health data associated with the given user, and obtain a desired consumable food weight for the food plate body based upon the user-selected food recipe and the user health data associated with the given user. The mobile wireless communications device may also be configured to wirelessly communicate with the wireless communications circuitry to obtain a sensed consumable food weight, compare the sensed consumable food weight with the desired consumable food weight, and generate a notification based upon the comparing.

According to one aspect, a medical device may be configured to couple to a body. The medical device may comprise a material layer; a plurality of adhesive layers coupled to the material layer and configured to couple to a user's skin, wherein each adhesive layer of the plurality of adhesive layers includes a plurality of micro passages; a channel extending between two adjacent adhesive layers of the plurality of adhesive layers; and a superhydrophobic coating covering at least a portion of each of the two adjacent adhesive layers and the material layer forming the channel.

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.

Device, systems, and techniques for supporting a patient's diabetes management with food item recommendations are described in this disclosure. The device, systems, and techniques may be configured to execute a training process for a model to predict a patient nutrition state of a patient based on a predetermined food item consumed by the patient within a time period. The training process is further configured to determine an estimated biomarker level based on the predetermined food item profile having a set of nutritional attributes for the food item and the model; receive an actual biomarker level of the patient after the patient consumes the food item within the time period; and calibrate the model based on comparing the estimated biomarker level to the actual biomarker level; repeat the training process for one or more food items of a set of predetermined food items; and output the trained model.

An electronic device for providing exercise information and a method therefor are provided. The electronic device includes a first sensor module, a second sensor module, at least one output device, and at least one processor. The at least one processor is configured to detect an event relating to start of an exercise state, obtain motion information corresponding to the exercise state using the first sensor module, obtain metabolite information of a user using the second sensor module, and provide information regarding the exercise state to the user through the at least one output device, based on whether the metabolite information satisfies a specified condition.

A method of monitoring compliance with an insulin regimen prescribed for a diabetic patient includes receiving continuous glucose monitoring (CGM) data for the patient over a period of time; determining a degree of variability in the CGM data obtained over the period of time; evaluating compliance with the prescribed insulin regimen based at least in part on the degree of variability in the CGM data that is determined; and responsive to the evaluating, causing at least one action to be performed to facilitate a change in patient behavior that increases compliance with the prescribed insulin regimen when compliance is determined to be less than required to optimize therapeutic treatment of diabetes in the diabetic patient.