Personalized parameter modeling methods and related devices and systems

A system comprising:

• one or more processors;
• and
• one or more processor-readable storage media storing instructions which, when executed by the one or more processors, cause performance of:
• obtaining current operational context information associated with a sensing device;
• obtaining an expected calibration factor parameter model associated with a patient;
• calculating an expected calibration factor value based on the expected calibration factor parameter model and the current operational context information;
• obtaining one or more electrical signals from the sensing device, the one or more electrical signals having a signal characteristic indicative of a physiological condition;
• converting the one or more electrical signals into a calibrated measurement value for the physiological condition using the expected calibration factor value;
• and
• outputting the calibrated measurement value for the physiological condition.

One or more non-transitory processor-readable storage media storing instructions which, when executed by one or more processors, cause performance of:

• obtaining current operational context information associated with a sensing device;
• obtaining an expected calibration factor parameter model associated with a patient;
• calculating an expected calibration factor value based on the expected calibration factor parameter model and the current operational context information;
• obtaining one or more electrical signals from the sensing device, the one or more electrical signals having a signal characteristic indicative of a physiological condition;
• converting the one or more electrical signals into a calibrated measurement value for the physiological condition using the expected calibration factor value;
• and
• outputting the calibrated measurement value for the physiological condition.