Impact of normalization, standardization and pre-fit on the success rate of fitting in electrochemical impedance spectroscopy

Fitting the data of an electrochemical impedance spectroscopy (EIS) typically requires manual estimation of the initial values before regression algorithms such as complex nonlinear least squares (CNLS) can be applied. This makes the success rate of the fitting dependent on the user input. Furthermo...

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Bibliografiska uppgifter
Huvudupphovsmän: Pfeiffer Norman, Jechow Markus, Wachter Toni, Hofmann Christian, Errachid Abdelhamid, Heuberger Albert
Materialtyp: Artikel
Språk:English
Publicerad: De Gruyter 2021-10-01
Serie:Current Directions in Biomedical Engineering
Ämnen:
Länkar:https://doi.org/10.1515/cdbme-2021-2125