System, methods, and other embodiments described herein relate to mitigating effects of motion sickness on a passenger in a vehicle. In one embodiment, a method includes analyzing sensor data about the passenger to produce a passenger state that characterizes a current physical condition of the passenger while riding in the vehicle. The method includes determining whether the passenger state correlates with symptoms of motion sickness in the passenger. The method includes controlling, in the vehicle, a vehicle component to adjust a current configuration relative to the passenger when the passenger state correlates with the symptoms.

The disclosed technology provides a system and a computer implemented method for crisis state detection and intervention of a person or group of persons, the method comprising: providing a computer system designed to detect and intervene non-normal, elevated crisis operating states; using one or more biometric sensors that ascertains a crisis state via physical, behavioral, or mental indicators; deducing, with computational hardware, the operational state of a user or users from one or more biometric sensors; and administering an immediate, dual intervention of a sensory form to de-escalate the crisis operating state of a person or group of persons.

A head guard is provided. The head guard includes one or more sensors as part of an sensory input and communications system. The head guard wirelessly communicates data to remote computing devices for intelligent data collection.

The invention provides systems for handling biofluids including the transport, capture, collection, storage, sensing, and/or evaluation of biofluids released by tissue. Systems of some aspects provide a versatile platform for characterization of a broad range of physical and/or chemical biofluid attributes in real time and over clinically relevant timeframes. Systems of some aspects provide for collection and/or analysis of biofluids from conformal, watertight tissue interfaces over time intervals allowing for quantitative temporal and/or volumetric characterization of biofluid release, such as release rates and release volumes.

Disclosed are devices, systems and methods for epidermal monitoring of a fluid on skin. In some aspects, a device includes an electrochemical sensor comprising two or more electrodes disposed on a first flexible substrate; a microfluidic device comprising a second flexible substrate coupled to the first substrate and structured to include (i) a channel in a first cavity of the second substrate, (ii) one or more holes that connect to the channel and provide one or more inlets, and (iii) a reservoir connected to the channel, in which the electrochemical sensor is aligned with the reservoir; and an adhesion layer coupled to the microfluidic device and attachable to skin, and the device being operable to detect a biomarker in a fluid in secreted by the skin into the microfluidic device.

A system and method for auto-regulating therapeutic administration to a patient for achieving artificial homeostasis. The system includes a plurality of modules designed to create an automated therapeutic administration system. An auto-regulation module maintains a target vital level within a patient by comparing measured levels with stored target levels; a delivery module delivers an amount of a therapeutic to a patient based on instructions from the auto-regulation module, and a sensor module measures patient levels and transmits the measurements to the auto-regulation unit. The auto-regulation module compares the measured levels with the stored target levels, and, based on the comparison, instructs the delivery module to alter the amount of therapeutic administered to the patient, in an effort to match the measured levels with the target levels, thereby creating a closed feedback loop designed to achieve an artificial homeostasis for a patient.

Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Devices and methods are described herein for directly and accurately measuring sweat flow rates using miniaturized thermal flow rate sensors. The devices (100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100, 1200, 1300, 1400, 1500) include the flow rate sensors (220, 320, 420, 520, 620, 720, 820, 920, 1020, 1120, 1220, 1320, 1420) in or adjacent to a microfluidic component (230, 330, 430, 530, 630, 730, 830, 930, 1030, 1130, 1230, 1330, 1430, 1530) of a wearable sweat sensing device. The devices and methods optimize the sensitivity of the flow rate sensors, while minimizing the presence of noise, in order to accurately and directly measure sweat flow rates.

Methods, systems, apparatuses, and/or devices for alerting a user of a change in a medical condition. The methods, systems, apparatuses, and/or devices may include a first sensor configured to measure a first physiological characteristic of a user to obtain a first set of physiological data for a physiological condition. The methods, systems, apparatuses, and/or devices may include a processing device configured to: receive a second set of physiological data for the physiological condition; determine a unique physiological characteristic of the user based on the second set of physiological data; determine a unique baseline for the unique physiological characteristic of the user based on the second set of physiological data; determine a relative physiological measurement for the physiological condition based on the first set of physiological data; and provide an alert to the user or a third party.

Described is a wrist wearable device with non-invasive sensing for the detection, prediction, screening, abstention, or treatment of alcohol, drug use or abuse. In one embodiment, a device (100) includes a substance sensor (108) supported by the device (100). The substance sensor (108) may be any suitable sensor. As show, the device (100) is a wrist wearable device with a case (102), an attachment (104), and a substance sensor (108) supported by the case (102). The attachment (104) as shown is a one-piece band with a coupler (112). The device (100) may communicate with a mobile device such as a phone and, in turn, with a remote processing platform. The remote processing platform can use information from the device (100) for identification of the subject and detection of a condition of the subject in relation to consumption of alcohol or us of other substances, among other things.