Self-learning and non-invasive bladder monitoring systems and methods

A system for measuring a volume of fluid within a bladder of a patient, comprising:

• a bladder volume monitoring (BVM) system including an impedance sensor contacting a skin surface of the patient, the bladder volume monitoring system configured to measure an electrical impedance of a bladder portion of the patient and determine a bladder volume value for the patient using a model, wherein the bladder volume value is an estimated volume of fluid within the bladder;
• a BVM training system configured to receive one or more urine output values for a volume of fluid voided from the bladder and including a logic configured to determine a difference between the bladder volume value and a urine output value of the one or more urine output values and iteratively modify the model to reduce the difference between the bladder volume value and the urine output value to improve accuracy of the model;
• and
• a bladder training system including a flow sensor and a valve, the flow sensor coupled with one of a catheter, a drainage tube, or a collection container, the valve configured to control a flow of fluid voided from the bladder, to train the bladder of the patient to a natural bladder cycle, the bladder training system configured to determine a urine output value of the one or more urine output values.