Extraction of Cole parameters from the electrical bioimpedance spectrum using stochastic optimization algorithms.
Fitting the measured bioimpedance spectroscopy (BIS) data to the Cole model and then extracting the Cole parameters is a common practice in BIS applications. The extracted Cole parameters then can be analysed as descriptors of tissue electrical properties. To have a better evaluation of physiologica...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 4; pp. 643 - 652 |
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| Autores principales: | , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=113881207&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113881207 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2016 vid: 54 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 113881207 113881207 NLM26215520 113881207 10.1007/s11517-015-1355-y NLM26215520 113881207 ppf: 643 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Extraction of Cole parameters from the electrical bioimpedance spectrum using stochastic optimization algorithms. aug: au: Gholami-Boroujeny, Shiva Bolic, Miodrag affil: School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa K1N 6N5 Canada sug: subj: Algorithms Electric Impedance Methods Statistics Databases Computer Simulation Female Electric Impedance Adult Regression Human Male Validation Studies Comparative Studies Evaluation Research Multicenter Studies Adult: 19-44 years Female Male ab: Fitting the measured bioimpedance spectroscopy (BIS) data to the Cole model and then extracting the Cole parameters is a common practice in BIS applications. The extracted Cole parameters then can be analysed as descriptors of tissue electrical properties. To have a better evaluation of physiological or pathological properties of biological tissue, accurate extraction of Cole parameters is of great importance. This paper proposes an improved Cole parameter extraction based on bacterial foraging optimization (BFO) algorithm. We employed simulated datasets to test the performance of the BFO fitting method regarding parameter extraction accuracy and noise sensitivity, and we compared the results with those of a least squares (LS) fitting method. The BFO method showed better robustness to the noise and higher accuracy in terms of extracted parameters. In addition, we applied our method to experimental data where bioimpedance measurements were obtained from forearm in three different positions of the arm. The goal of the experiment was to explore how robust Cole parameters are in classifying position of the arm for different people, and measured at different times. The extracted Cole parameters obtained by LS and BFO methods were applied to different classifiers. Two other evolutionary algorithms, GA and PSO were also used for comparison purpose. We showed that when the classifiers are fed with the extracted feature sets by BFO fitting method, higher accuracy is obtained both when applying on training data and test data. pubtype: Academic Journal doctype: algorithm equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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