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...
Huvudupphovsmän: | , , , , , |
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Materialtyp: | Artikel |
Språk: | English |
Publicerad: |
De Gruyter
2021-10-01
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Serie: | Current Directions in Biomedical Engineering |
Ämnen: | |
Länkar: | https://doi.org/10.1515/cdbme-2021-2125 |