Feature Extraction Algorithm for Palm Bio-Impedance Spectroscopy Based on Wavelet Transform


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Based on the palm bio-impedance spectroscopy (BIS) features, this paper suggests a kind of feature extraction algorithm suitable for the palm BIS. The palm BIS under the multi-frequency is measured , a wavelet transform with the characteristics of multi-resolution analysis is selected; each set of palm BIS data is discomposed ; the feature subset of wavelet coefficients with the different dimensions is extracted ;and then the support vector machine is used to carry out the matching judgment . The testing results indicate that the correct rate of the palm BIS feature extraction algorithm based on the wavelet transform is 91%, and its error rate is 9% ,whereby testifying that this algorithm is of an excellent robustness.



Edited by:

Bale V. Reddy




L. T. Lü et al., "Feature Extraction Algorithm for Palm Bio-Impedance Spectroscopy Based on Wavelet Transform", Applied Mechanics and Materials, Vols. 325-326, pp. 1576-1579, 2013

Online since:

June 2013




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