A method of avoiding a contaminant which would skew an analyte result in a breath analysis method and of calibrating subject of the breath analysis includes, immediately before the breath analysis method or the collection of breath for the breath analysis method, administering to the subject a predetermined gas composition. A system for analyzing an analyte in breath of a subject while avoiding a local contaminant which would skew an analyte result and calibrating the subject of so that the result of the analyte analysis will be the same regardless of where the test is performed geographically, includes a source of a predetermined gas composition immediately before the breath analysis method or the collection of gas for the breath analysis method, administering to the subject a predetermined gas mixture.

Methods and apparatus provide physiological movement detection, such as gesture, breathing, cardiac and/or gross motion, such as with sound, radio frequency and/or infrared generation, by electronic devices such as vehicular processing devices. The electronic device in a vehicle may, for example, be any of an audio entertainment system, a vehicle navigation system, and a semi-autonomous or autonomous vehicle operations control system. One or more processors of the device, may detect physiological movement by controlling producing sensing signal(s) in a cabin of a vehicle housing the electronic device. The processor(s) control sensing, with a sensor, reflected signal(s) from the cabin. The processor(s) derive a physiological movement signal with the sensing signal and reflected signal and generate an output based on an evaluation of the derived physiological movement signal. The output may control operations or provide an input to any of the entertainment system, navigation system, and vehicle operations control system.

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.

A system, method, and wireless earpieces for determining the status of the user. Sensor measurements of the user are performed utilizing a radar sensor of the wireless earpieces. The sensor measurements are analyzed. The status of the user is determined utilizing at least the sensor measurements of the radar sensor of the wireless earpieces. An alert is communicated to the user in response to there being a change in the status of the user.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

A wearable respiration monitoring system having a transmitter coil that is adapted to generate and transmit multi-frequency AC magnetic fields, two receiver coils adapted to detect variable strengths in two of the AC magnetic fields and generate AC magnetic field strength signals representing anatomical displacements of a monitored subject, and at least one accelerometer that is configured to detect and monitor anatomical positions and movement of the subject, and generate and transmit accelerometer signals representing same. The wearable monitoring system further includes an electronics module that is adapted to receive the AC magnetic field strength signals and accelerometer signals, and determine at least one respiratory disorder as a function of the AC magnetic field strength signals and at least one anatomical position of the subject as a function of the accelerometer signals.

A wearable respiration monitoring system having a transmitter coil that is adapted to generate and transmit multi-frequency AC magnetic fields, two receiver coils adapted to detect variable strengths in two of the AC magnetic fields and generate AC magnetic field strength signals representing anatomical displacements of a monitored subject, and at least one accelerometer that is configured to detect and monitor anatomical positions and movement of the subject, and generate and transmit accelerometer signals representing same. The wearable monitoring system further includes an electronics module that is adapted to receive the AC magnetic field strength signals and accelerometer signals, and determine at least one respiratory disorder as a function of the AC magnetic field strength signals and at least one anatomical position of the subject as a function of the accelerometer signals.

A method of presenting data from a remote sensor that is monitoring a subject includes obtaining a data stream from the remote sensor, wherein the data stream includes a sensor metric, a metric identifier, dynamically updated integrity information about an accuracy of the sensor metric, and a diagnostic assessment of a health condition of the subject, and then displaying, via a display associated with the client device, the diagnostic assessment of the health condition of the subject, a metric statistic associated with the diagnostic assessment, and a recommendation as to an action to be taken by the subject.

There is described a method and system for measuring a level of anxiety. Measured data comprising EEG data collected from a parietal (P) EEG electrode is received. A group 8 indicator based on a power, P-power (dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range is extracted. Based on said group 8 indicator, a level of anxiety, LoA, is determined which is a value indicative of the level of anxiety of the subject.