A watch-like early allergy detection, notification and management system is equipped with a motion detector as well as one or more physiological sensors to measure heart rate, skin color change, skin galvanic response, oxygen saturation and blood pressure to detect early symptoms of an allergic reaction. False alarms are reduced by simultaneously measuring ambient temperature and physical activity of the subject. Sudden onset of skin itch, redness, sweating, increase in heart rate or a drop in blood pressure without a preceding hot ambient condition or strenuous physical activity is interpreted as an allergic reaction. The system is also equipped with a subject locator and a GPS receiver to assist a caregiver in finding the subject rapidly. The system further features a medication compartment to start managing the allergic reaction quickly. The system is particularly beneficial for children that may become scared or hide away upon onset of an allergic reaction.

A device for monitoring a state of a living being includes a first sensor, a second sensor and an evaluation device. The first sensor non-invasively generates a measurement value based on a content of ammonia in the sweat of the living being. The second sensor generates a measurement value with respect to the respiration or the cardiac activity of the living being. The evaluation device generates a scalar measure of a stress of the living being based on the measurement values of the first and second sensors. Furthermore, the invention relates to a corresponding method.

The disclosed invention includes sweat sensing devices configured to periodically measure sweat conductivity and galvanic skin response, devices to measure volumetric sweat flow rate, and devices that combine the three functions. The disclosure further includes methods for using a device configured to perform periodic sweat conductivity measurements, galvanic skin response measurements, and volumetric sweat rate measurements so that each sensor modality informs composite estimates of sweat onset, sweat cessation, sweat ion concentration, and sweat rate. The method uses those measurements to inform other sweat sensing device functions, such as determining the existence of a physiological condition, or performing measurements of concentrations, ratios, and trends of sweat analytes.

A wearable sweat sensing device is provided for managing excess sweat flow. The sweat sensing device includes at least one sweat sensor and a sweat path for conveying sweat from a wearer's skin and across the at least one sensor. At least one adaptive sweat flow component is in fluidic communication with the sweat path for removing excess sweat flow from the sweat path. The adaptive sweat flow component can include one or more of an adaptive sweat sample collector, an adaptive sweat sample channel, or an adaptive sweat sample pump. A method of using the disclosed device to remove excess sweat flow from the device's sweat path during periods of high sweat rate is also provided.

The invention addresses confounding difficulties involving continuous sweat analyte measurement. Specifically, the present invention provides: at least one component capable of monitoring whether a sweat sensing device is in sufficient contact with a wearer's skin to allow proper device operation; at least one component capable of monitoring whether the device is operating on a wearer's skin; at least one means of determining whether the device wearer is a target individual within a probability range; at least one component capable of generating and communicating alert messages to the device user(s) related to: wearer safety, wearer physiological condition, compliance with a requirement to wear a device, device operation; compliance with a behavior requirement, or other purposes that may be derived from sweat sensor data; and the ability to utilize aggregated sweat sensor data that may be correlated with information external to the device to enhance the predictive capabilities of the device.

A mechanism to adjust variable focus lenses using monitored glucose levels is provided. A glucose sensor provides current blood glucose levels to a controller for the variable focus lenses. The controller determines appropriate adjustment control information for the variable focus lenses based upon the reported glucose levels. This adjustment control information is provided to the lenses, which are adjusted accordingly.

A transcutaneous electrical stimulation system is provided that can include a number of features. In one implementation, the system can include a plurality of electrodes configured to be in contact with a skin surface of a patient. The system can further include a flexible hub electrically connected to the electrodes and configured to be in contact with the patient. A bend sensor can be disposed in the hub and configured to measure a curvature of the hub. The system can include a signal processing device electrically coupled to the plurality of electrodes and the bend sensor, the signal processing device being configured to change stimulation settings of the plurality of electrodes based on the curvature of the hub. In some implementations, the system can include a multi-channel stimulator. Methods of use are also provided.

A measuring device configured to provide an indication of at least one sweat property is provided. The measuring device includes a sensing device and a wearable device. The sensing device may comprise an inlet and at least one sensor. The inlet may be configured to allow sweat to enter the sensing device. The at least one sensor may be disposed at least one of at and adjacent to the inlet. The at least one sensor may be configured to sense a respective at least one sweat property. The wearable device may be connected to the sensing device. The wearable device may be configured to sense skin temperature. The sensing device may be disposable and interchangeable with another sensing device.

A physiological diagnosis system includes a semi permeable membrane having one or more sensors; an accumulator that receives data from the one or more sensors; and a machine learning engine that analyzes the data from the accumulator and provides a diagnosis based on analysis of the data.

In one aspect, the disclosure relates to a sensor for predicting epileptic seizures in a subject. In an aspect, the sensor includes carbon nanotubes (CNTs) functionalized with organic molecules that can reversibly bind pre-seizure volatile organic compounds (VOCs) by IT-IT bonding, polar bonding, van der Waals interactions, and the like. The sensor can detect the pre-seizure VOCs from biological fluids including sweat, saliva, and breath, thus allowing the prediction of a seizure from 10 to 45 minutes before the seizure occurs, allowing a subject wearing the sensor to take actions to ensure safety and/or to alert caregivers. In an aspect, the sensor can be incorporated into a wearable device that also monitors vital signs such as heart rate, body temperature, skin impedance, and/or body movements in order to predict the type of epileptic seizure. Also disclosed are methods of making the sensors and methods for predicting epileptic seizures.