Systems and methods for real-time signal processing and fitting

A system for managing stress of a subject based on a selected pattern, the system comprising:

• one or more sensors wearable by a subject, where each sensor detects data associated with a monitored stress level of the subject, the data transmitted to a mobile platform in real-time;
• the mobile platform comprising a processor that executes instructions stored in memory, where execution of the instructions by the processor:
• evaluates at least a portion of the data over a time domain, where the portion of the data evaluated over the time domain comprises a plurality of respiratory waveforms, each of the plurality of respiratory waveforms associated with a different cycle of the received data,
• averages the plurality of respiratory waveforms to generate a mean waveform in the time domain, and
• selects a time domain pattern based on an error comparison with the mean waveform, where the selected time domain pattern is a breathing pattern for the subject that comprises a start time, a hold time, and an end time;
• and
• a user interface that communicates a stress notification regarding the selected time domain pattern, the stress notification comprising feedback prompting respiratory modification of the subject to adjust the monitored stress level of the subject, and in response to a detected change in the monitored stress level based on subsequent data received via the one or more sensors, generating real-time or near real-time feedback regarding effect of modification of the monitored stress level of the subject, the feedback comprising an indication of the detected change in the monitored stress level.