The present disclosure describes a closed-loop fluid resuscitation and/or cardiovascular drug administration system that uses continuous measurements and adaptive control architecture. The adaptive control architecture uses a function approximator to identify unknown dynamics and physiological parameters of a patient to compute appropriate infusion rates and to regulate the endpoint of resuscitation.

Eyewear apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as EOG and ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

The present disclosure relates to a method for providing guidance on a use period of a sensor and, more specifically, to a method for providing guidance on a use period of a sensor, which accurately provides guidance to a user about a use period of a sensor by calculating the number of sensors possessed by the user and the total use period from the use period of each sensor so as to determine whether the remaining use period has arrived at an order guidance period or to determine whether the remaining use period of the last sensor has arrived at the order guidance period, on the basis of a sensor usage history of the user, and enable the user to order sensors on the basis of the guidance.

Systems and methods are described for diagnosing, assessing, and quantifying sedative effects in a subject. The systems and methods described herein are non-invasive and based on the detection, measurement, and analysis of involuntary micromotions and/or fixational eye movements with respect to a subject's eyes, pupils, and head. Determinations as to sedation are based, in part, on divergences between measurements associated with the subject and predefined ranges, threshold values, and/or measurements contained in one or more individualized or population datasets. The described systems and methods are not reliant on the cooperation of the subject and, as a result, do not interfere with the subject's ongoing activities. The systems and methods can also be continuously deployed over any period of interest, and the results can be predictive in nature as opposed to reactionary.

A measurement method includes a first measurement in which a characteristic amount of a specific analyte in a biological fluid is measured with a biosensor. The method also includes a second measurement in which motion information of living activity is measured. Additionally, the method may include recording the motion information and the characteristic amount measured in the first measurement with the motion information and characteristic amount associated with each other.

Athletic performance sensing and/or tracking systems include components for measuring or sensing athletic performance data and/or for storing and/or displaying desired information associated with the athletic performance to the user (or others). Such systems can allow users a wide variety of options in creating workouts, selecting and presenting media content during the athletic performance, etc., e.g., to help keep users entertained and motivated. In some instances, user feedback may be used, optionally in combination with objective data relating to a workout, to control features of the workout routine, to control the music or other media content selected and/or presented, and/or to control features of future workout routines and/or the presented media content.

A method for determining oxygen saturation includes emitting light from sources into tissue; detecting the light by detectors subsequent to reflection; and generating reflectance data based on detecting the light. The method includes determining a first subset of simulated reflectance curves from a set of simulated reflectance curves stored in a tissue oximetry device for a coarse grid; and fitting the reflectance data points to the first subset of simulated reflectance curves to determine a closest fitting one of the simulated reflectance curves. The method includes determining a second subset of simulated reflectance curves for a fine grid based on the closest fitting one of the simulated reflectance curves; determining a peak of absorption and reflection coefficients from the fine grid; and determining an absorption and a reflectance coefficient for the reflectance data points by performing a weighted average of the absorption coefficients and reflection coefficients from the peak.

Earphone apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.

Embodiments provide for methods, systems, apparatus and computer readable media for calibrating an analyte sensor upon insertion into tissue of a subject based at least in part on parameters obtained from another analyte sensor already calibrated and previously inserted into the tissue of the subject. As an example, a method may include predicting a background current associated with the newly inserted sensor, subtracting the background current from a current measured by the newly inserted sensor, and converting the subtracted current to a glucose value, the converting based at least in part on the parameters obtained from the previously inserted analyte sensor. In this way, the newly inserted sensor may be calibrated without relying on actual blood-based analyte measurements, and accuracy and sensitivity of the newly inserted sensor may be improved.

In one implementation, an insulin delivery system using an on-body network includes an insulin delivery device that is adapted to administer dosages of insulin to a patient; a controller that is adapted to control operation of the insulin delivery device, to establish a first network connection in which the controller acts in a central role, and to establish a second network connection in which the controller acts in a peripheral role; one or more peripheral devices that are adapted to generate patient data related to blood glucose levels and to transmit the patient data wirelessly over the first network connection, the peripheral devices acting in a peripheral role over the first network connection; and a mobile application installed on a mobile computing device that is programmed to communicate with the controller over the second network connection, the mobile application communicating in a central role over the second network connection.