Current methods suffer significant drawbacks, such as low patient compliance for the finger stick test or short lifetime (i.e., 3 7 days) and required calibrations for continuous glucose monitors.
To assess the accuracy and applicability of a novel system, not requiring calibration, for continuous lactate monitoring with intravascular microdialysis in high-risk cardiac surgery.
The model requires calibration for simulation application.
Therefore, the proposed method requires calibration for different optical settings.
Divergence time algorithms require calibration for at least one internal node.
This is further acknowledged by the fact that the predictive algorithm requires calibration for every subject in several studies [ 20, 22].
The more traditional ones utilize internal standards, e.g. spiking the complex mixture with peptides of known concentration [ 11, 12], and typically require calibration for each protein to be quantified.
Systems that are not continuous (for example, echocardiography) or that require calibration (for example, transpulmonary indicator dilution) may not provide the real-time data needed for optimal acute management of unstable critically ill patients, whereas systems that provide continuous non-calibrated cardiac output measurements suffer from reduced accuracy.
The model required calibration to account for turbulence in the transfer of heat from fruit to the surrounding air.
Additionally, the required calibration efforts for ASC are negligible compared to those of a DSC: once constructed and after an initial calibration, an ASC does not require periodical recalibration.
However, this sensitivity is a drawback when reproducibility is required (calibration phantoms, for example).
