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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書誌詳細

出版年:	Current Directions in Biomedical Engineering
主要な著者:	Pfeiffer Norman, Jechow Markus, Wachter Toni, Hofmann Christian, Errachid Abdelhamid, Heuberger Albert
フォーマット:	論文
言語:	英語
出版事項:	De Gruyter 2021-10-01
主題:	electrochemical impedance spectroscopy eis complex nonlinear least squares cnls pre-fit randles circuit fitting
オンライン･アクセス:	https://doi.org/10.1515/cdbme-2021-2125