title: An improved algorithm for quantifying real-time impedance biosensor signals.
abstract: 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.
authors.affiliation: Sharp Laboratories of America, 5750 NW Pacific Rim Blvd, Camas, Washington 98607, USA. deanm@sharplabs.com
authors.forename: Dean S
authors.initials: DS
authors.lastname: Messing
authors.forename: Andrey
authors.initials: A
authors.lastname: Ghindilis
authors.forename: Kevin
authors.initials: K
authors.lastname: Schwarzkopf
mesh_terms: D000465:Algorithms; D015374:Biosensing Techniques; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted