A method and system for monitoring a user's intoxication including receiving a set of signals, derived from a set of samples collected from the user at a set of time points; providing a sobriety task to the user proximal to a time point of the set of time points; generating a performance dataset characterizing performance of the sobriety task by the user; receiving a supplementary dataset characterizing a demographic profile of the user and/or a physiological state of the user; determining a set of values of an intoxication metric, derived from the set of signals; generating a predicted temporal profile of the intoxication metric for the user based upon the set of values, the set of time points, and the supplementary dataset; generating an analysis of the user's sobriety based upon the performance dataset and the predicted temporal profile; and providing a notification to the user based upon the analysis.

A system for carbon dioxide (CO2) removal from a circulatory system of a patient includes a medical device providing extracorporeal lung assist (ECLA) treatment to the patient through extracorporeal removal of CO2 from the patient's blood; at least one control unit controlling the operation of the medical device so as to control a degree of CO2 removal obtained by the ECLA treatment; and a bioelectric sensor detecting a bioelectric signal indicative of the patient's efforts to breathe. The at least one control unit is configured to control the operation of the medical device based on the detected bioelectric signal.

Described herein are systems, devices, and methods for energy-efficient operation of wireless devices. In some variations, a wireless monitor may comprise a sensor configured to measure a physiological parameter of a patient at a first resolution. A processor may be configured to generate physiological parameter data based on the measured physiological parameter of the patient at the first resolution. The sensor may be configured to measure the physiological parameter of the patient at a second resolution based at least in part on the physiological parameter data.

Methods and apparatus for determining biological effects of environmental sounds are disclosed. An example apparatus includes a sound characteristic analyzer to identify a sound event based on audio data in an environment. The example apparatus includes a physiological data analyzer to identify a physiological event based on physiological response data collected from a user exposed to the sound event in the environment. The example apparatus includes a correlation identifier to identify a correlation between the sound event and the physiological event and a report generator to generate a report based on the correlation.

Systems and Methods for determining a physiological parameter are disclosed. The physiological sensing device can measure a physiological parameter, determine a mood based on the physiological parameter, and render one or more songs associated with the mood.

Embodiments herein relate to ear-wearable systems and devices that can detect allergic reactions. In an embodiment, an ear-wearable device is included having a control circuit, a microphone, and a sensor package. The ear-wearable device can be configured to evaluate at least one of signals from the microphone, signals from the sensor package, signals from an external sensor, and contextual factor data, and detect an allergic reaction based on the evaluation. In an embodiment, an ear-wearable device system is included having a first ear-wearable device and a second ear-wearable device. In an embodiment, a method of predicting or detecting the onset or presence of an allergic reaction with an ear-wearable system is included. Other embodiments are also included herein.

A computer system provides patient monitoring and treatment using implanted biosensors. Data associated with a target joint of a patient is collected via one or more implanted biosensors. A plurality of feature values are extracted from the data. The plurality of feature values are processed using a trained classification model to select a recommendation. The recommendation is provided to mitigate hemophilia-related injury to the target joint. Embodiments of the present invention further include a method and program product for providing patient monitoring and treatment using implanted biosensors in substantially the same manner described above.

A method for estimating a metabolic rate of a user includes obtaining pulse oximetry data for the user for a period of time. The method includes determining a rate of decline in oxygen saturation of blood of the user that is associated with a breathing rate of the user for the period of time based, at least in part, on the pulse oximetry data. The method includes estimating the metabolic rate of the user for the period of time based, at least in part, on the rate of decline in the oxygen saturation of the blood that is associated with the breathing rate of the user. The method includes providing a notification indicative of the metabolic rate for the period of time.

Embodiments herein relate to ear-wearable systems and devices for detecting heat stress and related methods. In an embodiment, an ear-wearable heat stress risk assessment system is included having a control circuit, a microphone, and a sensor package. The system is configured to process signals of one or more sensors of the sensor package and/or the microphone, detect dehydration symptoms, environmental conditions, and activity levels of a device wearer based on the processed signals, and determine a heat stress risk level based on detected dehydration symptoms, environmental conditions, and activity levels of the device wearer. Other embodiments are also included herein.

Systems and methods for analyte monitoring, particularly systems and methods for monitoring and managing life of a battery in an analyte sensor system worn by a user, are provided.