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MODEL-BASED CALIBRATION OF A NON-INVASIVE BLOOD GLUCOSE MONITOR by Elena Shula A Project Report Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements
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Model-based calibration of a is a process where a mathematical model is used to adjust and optimize the parameters of a system or device to improve its performance or accuracy.
The individuals or organizations responsible for managing or maintaining the calibrated system or device are typically required to file model-based calibration.
To fill out model-based calibration, one needs to gather relevant data, perform mathematical modeling, adjust system parameters, validate the calibration against known standards or measurements, and document the entire process.
The purpose of model-based calibration is to ensure that the calibrated system or device operates with high accuracy, consistency, and reliability by fine-tuning its parameters based on mathematical models.
The information typically reported on model-based calibration includes the system's or device's initial parameters, calibration methodology, measurement data, adjusted parameters, validation results, and any necessary documentation or certificates.
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