Noninvasive tool for assessing hydration status

A device for monitoring a subject for an abnormal hydration status, the device comprising:

• a processor;
• one or more sensors associated with the subject and configured to provide sensor data including at least physiological data for the subject;
• computer-storage memory having computer-executable instructions stored thereon that, when executed by the processor, implement a method comprising:
• determining a tissue electrical impedance spectroscopic (EIS) measurement of the subject;
• calculating a value quantifying current spectrum curvature shape based on the tissue EIS measurement;
• receiving a plurality of previously determined values quantifying spectrum curvature shape determined from previous tissue EIS measurements for the subject, the plurality of previously determined values quantifying spectrum curvature shape corresponding to a plurality of time-stamped data points;
• determining a future value quantifying spectrum curvature shape for the subject at a future time interval by minimizing an objective function using one or more evolutionary algorithms based on the value quantifying current spectrum curvature shape and the plurality of previously determined values quantifying spectrum curvature shape;
• based on the future value quantifying spectrum curvature shape and one or more predetermined threshold values, determining a probability the subject will have an abnormal hydration status within the future time interval;
• and
• upon determining the probability that the subject will have the abnormal hydration status within the future time interval, evoking one or more actions to manage the abnormal hydration status.

A system for predicting an abnormal hydration status in a human subject, the system comprising:

• one or more processors;
• one or more sensors configured to receive one or more physiological levels of a subject for determining tissue electrical impedance spectra of the subject;
• and
• computer-storage memory having computer-executable instructions stored thereon that, when executed by the one or more processors, cause the one or more processors to perform a method that comprises:
• determine a tissue electrical impedance spectroscopic (EIS) measurement from one or more received physiological levels of the subject;
• calculate a value quantifying current spectrum curvature shape based on the tissue EIS measurement;
• receive a plurality of previously determined values quantifying spectrum curvature shape determined from previous tissue EIS measurements for the subject, the plurality of previously determined values quantifying spectrum curvature shape corresponding to a plurality of time-stamped data points;
• infer a future value quantifying spectrum curvature shape for the subject at a future time interval based on the value quantifying current spectrum curvature shape and the plurality of previously determined values quantifying spectrum curvature shape using one or more evolutionary algorithms;
• based on the inferred future value quantifying spectrum curvature shape and one or more predetermined threshold values, determine a probability the subject will have an abnormal hydration status within the future time interval;
• and
• upon determining the probability that the subject will have the abnormal hydration status within the future time interval, evoke one or more actions to manage the abnormal hydration status.