Prediction and Tracking of Hormonal Changes Through Non-Invasive Physiological Measurements

A hormone tracking system comprising:

• an electrode array configured to be worn by a user in contact with skin of the user, the electrode array including a plurality of electrodes;
• a power source;
• a signal generator configured to apply probe electrical signals to one or more of the plurality electrodes using the power source;
• a detector configured to detect response electrical signals at one or more of the plurality of electrodes and to generate digital signal outputs, the response electrical signals being responsive to the probe electrical signals and the digital signal outputs being representative of a physiological state of a tissue of the user;
• control logic configured to activate the signal generator to generate a series of the probe electrical signals over a period of time, each of the probe electrical signals resulting in at least one of the response electrical signals;
• memory configured to store the digital signal outputs;
• trained machine learning logic configured to detect a physiological state of the user based on the digital signal outputs, the physiological state being indicative of hydration a breast of the user;
• and
• an I/O configured to communicate the digital signal output to the trained machine learning logic.