Title :
Low-Invasive Diagnosis of Prothesis Osseointegration by Electrical Impedance Spectroscopy
Author :
Arpaia, Pasquale ; Bruno, Vincenzo ; Clemente, Fabrizio ; Zanesco, Antonio
Author_Institution :
Dipt. di Ingegneria, Univ. del Sannio, Benevento
Abstract :
A digital measurement method for low-invasive clinical diagnosis of prothesis osseointegration is proposed. The method overcomes current limits of biological electrical impedance analysis, such as: (i) resolution, by means of several polarization levels and spectrum interpolation based on suitably modified Kramer-Kronig transforms, (ii) noise, by means of a 7-parameters digital measurement technique and spectral filters based on Mexican hat and on modified Morlet wavelet transforms, and (iii) electrical models of biological tissues, by means of evolutionary programming, based on a family of basic electrical sub-models and on their combination rules
Keywords :
biomedical imaging; bone; electrochemical impedance spectroscopy; genetic algorithms; prosthetics; wavelet transforms; Kramer-Kronig transforms; Morlet wavelet transforms; biological system modeling; biomedical impedance imaging; digital measurement; electrical impedance measurement; genetic programming; impedance tomography; prothesis osseointegration; spectrum interpolation; Biological system modeling; Clinical diagnosis; Digital filters; Electrochemical impedance spectroscopy; Interpolation; Measurement techniques; Noise level; Polarization; Wavelet analysis; Wavelet transforms; Biological system modeling; Biomedical impedance imaging; Genetic programming; Impedance measurements; Impedance tomography;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604273
