A method for titrating a stimulation parameter for one or more electrode contacts in a system for stimulating a hypoglossal nerve of a patient includes activating one of the one or more electrode contacts to stimulate the hypoglossal nerve of the patient, obtaining a first and/or second physiological measurement from the patient, comparing the first and/or second physiological measurement to a first and/or second predetermined target value, adjusting a stimulation parameter for the one of the one or more electrode contacts if the first and/or second physiological measurement differs from the first and/or second predetermined target value.

A method for titrating a stimulation parameter for one or more electrode contacts in a system for stimulating a hypoglossal nerve of a patient includes activating one of the one or more electrode contacts to stimulate the hypoglossal nerve of the patient, obtaining a first and/or second physiological measurement from the patient, comparing the first and/or second physiological measurement to a first and/or second predetermined target value, adjusting a stimulation parameter for the one of the one or more electrode contacts if the first and/or second physiological measurement differs from the first and/or second predetermined target value.

In at least one embodiment, a system for performing biometric evoked response monitoring and feedback for a vehicle is provided. The system includes a plurality of sensors and at least one controller. The plurality of sensors may be positioned about a main cabin of the vehicle and each sensor is configured to provide a first signal indicative of a measured electromagnetic characteristic of an anatomical feature of a driver for the vehicle in response to an alert being issued to the driver. The at least one controller is configured to receive the first signal and to determine a stimulus response and an attentiveness response of the driver based on the measured electromagnetic characteristic of the anatomical feature of the driver.

In at least one embodiment, a system for performing biometric evoked response monitoring and feedback for a vehicle is provided. The system includes a plurality of sensors and at least one controller. The plurality of sensors may be positioned about a main cabin of the vehicle and each sensor is configured to provide a first signal indicative of a measured electromagnetic characteristic of an anatomical feature of a driver for the vehicle in response to an alert being issued to the driver. The at least one controller is configured to receive the first signal and to determine a stimulus response and an attentiveness response of the driver based on the measured electromagnetic characteristic of the anatomical feature of the driver.

Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual’s cognitive abilities.

Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual’s cognitive abilities.

A sensibility measuring method includes measuring, based on a measurement item which corresponds to each of evaluation objects (50), a set of biological information (20), the set each derived from a subject (60) while using each of the evaluation objects (50) on a trial basis, and acquiring an evaluation result (80) for each of the evaluation objects (50), the evaluation result (80) including identification information that enables identification of a rank order in which the evaluation objects (50) are compared with each other, based on the measured set of biological information (20).

A sensibility measuring method includes measuring, based on a measurement item which corresponds to each of evaluation objects (50), a set of biological information (20), the set each derived from a subject (60) while using each of the evaluation objects (50) on a trial basis, and acquiring an evaluation result (80) for each of the evaluation objects (50), the evaluation result (80) including identification information that enables identification of a rank order in which the evaluation objects (50) are compared with each other, based on the measured set of biological information (20).

In neonates or infants, the system identifies Neonatal Abstinence Syndrome (NAS) and in adult patients the system monitors for and identifies withdrawal and/or relapse symptoms. The system can be used for NAS babies in hospitals as well as in the home for adults. The system obtains biosensor or behavioral information about a patient from a wearable device on the patient and makes a determinative recommendation based on algorithm driven calculations and takes appropriate action based on its evaluation. The biosensor and behavioral information are collected by way of a wearable device, high precision cameras, muti pitch microphones over progressive periods of time. When the data is indicative of a need for treatment because the patient is exhibiting symptoms or indicating relapse traits, this information is sent to the system where an AI module further predicts and recommends a delivery of treatment for the patient.

In neonates or infants, the system identifies Neonatal Abstinence Syndrome (NAS) and in adult patients the system monitors for and identifies withdrawal and/or relapse symptoms. The system can be used for NAS babies in hospitals as well as in the home for adults. The system obtains biosensor or behavioral information about a patient from a wearable device on the patient and makes a determinative recommendation based on algorithm driven calculations and takes appropriate action based on its evaluation. The biosensor and behavioral information are collected by way of a wearable device, high precision cameras, muti pitch microphones over progressive periods of time. When the data is indicative of a need for treatment because the patient is exhibiting symptoms or indicating relapse traits, this information is sent to the system where an AI module further predicts and recommends a delivery of treatment for the patient.