Identification of Cancer Cell Types by Electrical Impedance Spectroscopy Based on Principal Component Analysis Integrated With Equivalent Circuit Model (ECM-PCA)

This study highlights the potential of ECM-PCA in advancing cancer diagnostics through enhanced analysis of impedance spectra.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-04-16
DOI
https://doi.org/10.1109/tbme.2025.3561453
Primary Topic
Electrical and Bioimpedance Tomography
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of Cancer Cell Types by Electrical Impedance Spectroscopy Based on Principal Component Analysis Integrated With Equivalent Circuit Model (ECM-PCA)

Martin Wekesa Sifuna, Daisuke Kawashima, Songshi Li, Masahiro Takei et al.
IEEE Transactions on Biomedical Engineering
Electrical and Bioimpedance Tomography
article

Identification of Cancer Cell Types by Electrical Impedance Spectroscopy Based on Principal Component Analysis Integrated With Equivalent Circuit Model (ECM-PCA)

Martin Wekesa Sifuna, Daisuke Kawashima, Songshi Li, Masahiro Takei, Isao Kojima, Ruimin Zhou
article en

Abstract

This study highlights the potential of ECM-PCA in advancing cancer diagnostics through enhanced analysis of impedance spectra.

IEEE Transactions on Biomedical EngineeringVol. 72(10)
Chiba University (JP), Chiba University Hospital (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 94%
Electrical and Bioimpedance Tomography
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