Systems and methods for a wearable, real-time cognitive behavioral therapy device

A system, comprising:

• a first sensor configured to be worn on a user, the first sensor being a non-invasive sensor configured to detect an electrophysiology signal at the scalp of the user and to output a first sensor signal corresponding to the detected electrophysiology signal;
• a second sensor configured to be worn on the user, the second sensor being a non-invasive sensor configured to detect a physiological signal at a body location other than the scalp and to output a second sensor signal corresponding to the detected physiological signal.
• a computing device in operable communication with the first sensor and second sensor, the computing device configured to receive the first sensor signal and second sensor signal, the computing device having a software application which programs the computing device to process the first and second sensor signals and utilize a detection algorithm which utilizes both the first sensor signal and the second sensor signal to detect an impulsivity state of the user. An impulsivity state is detected when the two input signals—physiologic (e.g., heart rate) and electrophysiologic (e.g., theta power), together exceed an experimentally-defined amplitude threshold. Both signals would be transmitted and processed in a real-time fashion. The physiologic signal would be extracted to quantify heart rate, breathing rate and galvanic skin response. The electrophysiologic signal would be extracted to quantify the spectral power from 4-50 Hz, in 1 Hz increments. The detection threshold would be pre-defined experimentally from a set of prior experimentation and validations, and would present as some X percent increase in amplitude in a 2-second instantaneous signal capture above a moving 2-minute baseline average for all incorporated signals. The signals contributing to this detection algorithm would be experimentally defined based on those signals most relevant to the state being detected.