An improved algorithm for quantifying real-time impedance biosensor signals.

In previously published work [1] we presented a real-time electrochemical impedance biosensor prototype system and a state-space estimation algorithm for signal quantification. Experiments in the interim have revealed some algorithm failure modes which reduced the reliability and repeatability of quantification. The present work describes a related algorithm that introduces constraints based on a priori knowledge of the expected signals predicted by the biosensor signal model. The improvements in reliability and repeatability bring the system close to deployment for real-world trials.