Automatic modeling based on cultural programming for osseointegration diagnosis (270 views)
Vols 1 3i2mtc (ISSN: 1091-5281), 2009; N/D: 1278-1283.
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Paper type: Journal Article,
Impact factor: 0, 5-year impact factor: 0
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-70449858453&partnerID=40&md5=55b5f27587dddf92a3eda5a5c5b66789
Keywords: Artificial Intelligence, Circuit Modeling, Data Analysis Impedance Measurements, Analytical Modeling, Automatic Modeling, Cultural Algorithm, Eis Measurements, Electrical Impedance Spectroscopy, Evolutionary Programming Approach, Gene Expression Programming, In-Vitro, Metallic Implants, Osseointegration, Potential Solutions, Bone, Data Handling, Electric Impedance Measurement, Electrochemical Corrosion, Equivalent Circuits, Measurement Theory, Program Diagnostics, Electric Network Analysis,
Affiliations:
*** IBB - CNR ***
Dipartimento di Ingegneria, Università del Sannio, Benevento, Italy
Istituto di Ingegneria Biomedica, Consiglio Nazionale delle Ricerche, Roma, Italy
References:
Arpaia, P., Clemente, F., Zanesco, A., Automatic analytical modeling of EIS data by evolutive programming-based cultural algorithms (2006) IMTC 2006, Instrumentation and Measurement Technology Conference, , Sorrento, Italy April 24-2
Albrektsson, T., Branemark, P.I., Hansson, H.A., The interface zone of inorganic implants in vivo: Titanium implants in bone (1983) Annals of Biomedical Engineering, 11, pp. 1-27
Kienapfel, H., Sprey, C., Wilke, A., Griss, P., Implant fixation by bone ingrowth (1999) Journal of Arthroplasty, 14 (3), pp. 355-368
Borbley, P., Dunay, M.P., Jung, B.A., Weherbein, H., Wagner, W., Kunkel, M., Primary loading of palatal implants for orthodontic anchorage-A pilot animal study (2008) Journal of Cranio-Maxillofacial Surgery, 36, pp. 21-27
Franchi, M., Fini, M., Martini, D., Orsini, E., Leonardi, L., Ruggeri, A., Giavaresi, G., Ottani, V., Biological fixation of endosseous implants (2005) Micron, 36 (7-8), pp. 665-671
Osstel, A.B., Osstell Mentor. The objective judge of implant stability, , http://www.osstell.com/?id=2808, January, 2009 [On line] Available:, Accessed: January 7 2009
Rigaud, B., Morucci, J.P., Bioelectrical impedance techniques in medicine. Part I: Bioimpedance measurement. Second section: impedance spectroscopy (1996) Critical Reviews in Biomedical Engineering, 24 (4-6), pp. 257-351
Valentinuzzi, M.E., Bioelectrical impedance techniques in medicine. Part I: Bioimpedance measurement. First section: general concepts (1996) Critical Reviews in Biomedical Engineering, 24 (4-6), pp. 223-255
Barsoukov, E., Macdonald, J.R., (2005) Impedance Spectroscopy
Theory, Experiment, and Applications, , 2nd ed, Wiley Interscience Publications, ch. 2
Foster, K.R., Shvan, H.P., Dielctic properties of tissues and biological materials: A critical review (1989) Critical Reviews in Biomedical Engineering, 17 (1), pp. 25-104
Nelatury S. R., Singh P., Equivalent circuit parameters of nickel/metal hydride batteries from sparse impedance measurements Journal of Power Sources, 132, Issues 1-2, Pages 1-327 (May 2004)Liaw, B.Y., Nagasubramanian, G., Jungst, R.G., Doughty, D.H., (2004) Modeling of lithium ion cells-A simple equivalent-circuit model approach, pp. 1-875. , Solid State Ionics, 175, Issues 1-4, November
Sgura, I., Bozzini, B., Numerical issues related to the modelling of electrochemical impedance data by non-linear least-squares (2005) Internation Journal of Non-Linear Mechanics, 40 (4), pp. 429-588. , May
http://www.scribner.comMacdonald, J.R., Potter, L.D., A flexible procedure for analyzing impedance spectroscopy results: Description and illustration (1987) Solid State Ionics, 23, pp. 61-79
J. H. Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, University of Michigan Press, 1975 (second edition: MIT Press, 1992)Reynolds, R.G., Sverdlik, W., Problem solving using cultural algorithms (1994) Proc. of the First IEEE Conf. on Evolutionary Computation, pp. 645-650. , Piscataway, NJ, 27-29 June
Spector, L., Sean, L., Cultural transmission of information in genetic programming (1996) Genetic Programming 1996: Proceedings of the First Annual Conference, pp. 209-214. , Cambridge, MA, 28-31 July
Becerra, R.L., Coello Coello, C.A., Culturizing Differential evolution for constrained optimization (2004) Proc. of the Fifth Mexican Int. Conf. in Computer Science, pp. 304-311. , Colima, Mexico
Arpaia, P., Lucariello, G., Zanesco, A., Automatic Fault Isolation by Cultural Algorithms With Differential Influence (2007) IEEE Trans. on Instrum. and Meas, 56 (5), pp. 1573-1582. , Oct
Ferreira, C., Gene Expression Programming: A New Adaptive Algorithm for Solving Problems (2001) Complex Systems, 13 (2), pp. 87-129
Cao, H., Yu, J., Kang, L., An Evolutionary Approach for Modeling the Equivalent Circuit for Electrochemical Impedance Spectroscopy (2003) Proc. of the 2003 Congress on Evolutionary Computation CEC2003, pp. 1819-1825. , Canberra, Australia, 8-12 Dec
Osstel, A. B., Osstell Mentor. The objective judge of implant stability, , http: //www. osstell. com/? id=2808, January, 2009 [On line] Available:, Accessed: January 7 2009
Valentinuzzi, M. E., Bioelectrical impedance techniques in medicine. Part I: Bioimpedance measurement. First section: general concepts (1996) Critical Reviews in Biomedical Engineering, 24 (4-6), pp. 223-255
Foster, K. R., Shvan, H. P., Dielctic properties of tissues and biological materials: A critical review (1989) Critical Reviews in Biomedical Engineering, 17 (1), pp. 25-104
http: //www. scribner. comMacdonald, J. R., Potter, L. D., A flexible procedure for analyzing impedance spectroscopy results: Description and illustration (1987) Solid State Ionics, 23, pp. 61-79
Becerra, R. L., Coello Coello, C. A., Culturizing Differential evolution for constrained optimization (2004) Proc. of the Fifth Mexican Int. Conf. in Computer Science, pp. 304-311. , Colima, Mexico
Vols 1 3i2mtc (ISSN: 1091-5281), 2009; N/D: 1278-1283.
Export to BibTeX Export to EndNote
Paper type: Journal Article,
Impact factor: 0, 5-year impact factor: 0
Url: http://www.scopus.com/inward/record.url?eid=2-s2.0-70449858453&partnerID=40&md5=55b5f27587dddf92a3eda5a5c5b66789
Keywords: Artificial Intelligence, Circuit Modeling, Data Analysis Impedance Measurements, Analytical Modeling, Automatic Modeling, Cultural Algorithm, Eis Measurements, Electrical Impedance Spectroscopy, Evolutionary Programming Approach, Gene Expression Programming, In-Vitro, Metallic Implants, Osseointegration, Potential Solutions, Bone, Data Handling, Electric Impedance Measurement, Electrochemical Corrosion, Equivalent Circuits, Measurement Theory, Program Diagnostics, Electric Network Analysis,
Affiliations:
*** IBB - CNR ***
Dipartimento di Ingegneria, Università del Sannio, Benevento, Italy
Istituto di Ingegneria Biomedica, Consiglio Nazionale delle Ricerche, Roma, Italy
References:
Arpaia, P., Clemente, F., Zanesco, A., Automatic analytical modeling of EIS data by evolutive programming-based cultural algorithms (2006) IMTC 2006, Instrumentation and Measurement Technology Conference, , Sorrento, Italy April 24-2
Albrektsson, T., Branemark, P.I., Hansson, H.A., The interface zone of inorganic implants in vivo: Titanium implants in bone (1983) Annals of Biomedical Engineering, 11, pp. 1-27
Kienapfel, H., Sprey, C., Wilke, A., Griss, P., Implant fixation by bone ingrowth (1999) Journal of Arthroplasty, 14 (3), pp. 355-368
Borbley, P., Dunay, M.P., Jung, B.A., Weherbein, H., Wagner, W., Kunkel, M., Primary loading of palatal implants for orthodontic anchorage-A pilot animal study (2008) Journal of Cranio-Maxillofacial Surgery, 36, pp. 21-27
Franchi, M., Fini, M., Martini, D., Orsini, E., Leonardi, L., Ruggeri, A., Giavaresi, G., Ottani, V., Biological fixation of endosseous implants (2005) Micron, 36 (7-8), pp. 665-671
Osstel, A.B., Osstell Mentor. The objective judge of implant stability, , http://www.osstell.com/?id=2808, January, 2009 [On line] Available:, Accessed: January 7 2009
Rigaud, B., Morucci, J.P., Bioelectrical impedance techniques in medicine. Part I: Bioimpedance measurement. Second section: impedance spectroscopy (1996) Critical Reviews in Biomedical Engineering, 24 (4-6), pp. 257-351
Valentinuzzi, M.E., Bioelectrical impedance techniques in medicine. Part I: Bioimpedance measurement. First section: general concepts (1996) Critical Reviews in Biomedical Engineering, 24 (4-6), pp. 223-255
Barsoukov, E., Macdonald, J.R., (2005) Impedance Spectroscopy
Theory, Experiment, and Applications, , 2nd ed, Wiley Interscience Publications, ch. 2
Foster, K.R., Shvan, H.P., Dielctic properties of tissues and biological materials: A critical review (1989) Critical Reviews in Biomedical Engineering, 17 (1), pp. 25-104
Nelatury S. R., Singh P., Equivalent circuit parameters of nickel/metal hydride batteries from sparse impedance measurements Journal of Power Sources, 132, Issues 1-2, Pages 1-327 (May 2004)Liaw, B.Y., Nagasubramanian, G., Jungst, R.G., Doughty, D.H., (2004) Modeling of lithium ion cells-A simple equivalent-circuit model approach, pp. 1-875. , Solid State Ionics, 175, Issues 1-4, November
Sgura, I., Bozzini, B., Numerical issues related to the modelling of electrochemical impedance data by non-linear least-squares (2005) Internation Journal of Non-Linear Mechanics, 40 (4), pp. 429-588. , May
http://www.scribner.comMacdonald, J.R., Potter, L.D., A flexible procedure for analyzing impedance spectroscopy results: Description and illustration (1987) Solid State Ionics, 23, pp. 61-79
J. H. Holland, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, University of Michigan Press, 1975 (second edition: MIT Press, 1992)Reynolds, R.G., Sverdlik, W., Problem solving using cultural algorithms (1994) Proc. of the First IEEE Conf. on Evolutionary Computation, pp. 645-650. , Piscataway, NJ, 27-29 June
Spector, L., Sean, L., Cultural transmission of information in genetic programming (1996) Genetic Programming 1996: Proceedings of the First Annual Conference, pp. 209-214. , Cambridge, MA, 28-31 July
Becerra, R.L., Coello Coello, C.A., Culturizing Differential evolution for constrained optimization (2004) Proc. of the Fifth Mexican Int. Conf. in Computer Science, pp. 304-311. , Colima, Mexico
Arpaia, P., Lucariello, G., Zanesco, A., Automatic Fault Isolation by Cultural Algorithms With Differential Influence (2007) IEEE Trans. on Instrum. and Meas, 56 (5), pp. 1573-1582. , Oct
Ferreira, C., Gene Expression Programming: A New Adaptive Algorithm for Solving Problems (2001) Complex Systems, 13 (2), pp. 87-129
Cao, H., Yu, J., Kang, L., An Evolutionary Approach for Modeling the Equivalent Circuit for Electrochemical Impedance Spectroscopy (2003) Proc. of the 2003 Congress on Evolutionary Computation CEC2003, pp. 1819-1825. , Canberra, Australia, 8-12 Dec
Osstel, A. B., Osstell Mentor. The objective judge of implant stability, , http: //www. osstell. com/? id=2808, January, 2009 [On line] Available:, Accessed: January 7 2009
Valentinuzzi, M. E., Bioelectrical impedance techniques in medicine. Part I: Bioimpedance measurement. First section: general concepts (1996) Critical Reviews in Biomedical Engineering, 24 (4-6), pp. 223-255
Foster, K. R., Shvan, H. P., Dielctic properties of tissues and biological materials: A critical review (1989) Critical Reviews in Biomedical Engineering, 17 (1), pp. 25-104
http: //www. scribner. comMacdonald, J. R., Potter, L. D., A flexible procedure for analyzing impedance spectroscopy results: Description and illustration (1987) Solid State Ionics, 23, pp. 61-79
Becerra, R. L., Coello Coello, C. A., Culturizing Differential evolution for constrained optimization (2004) Proc. of the Fifth Mexican Int. Conf. in Computer Science, pp. 304-311. , Colima, Mexico
Automatic modeling based on cultural programming for osseointegration diagnosis
The problem of modeling equivalent circuits for interpreting Electrical Impedance Spectroscopy (EIS) data in monitoring osseointegration level of metallic implants in bone is faced by means of an evolutionary programming approach based on cultural algorithms. With respect to state-of-the-art gene expression programming, the information on search advance acquired by most promising individuals during the evolution is shared with the entire population of potential solutions and stored also for next generations. Experimental results of the application such cultural programming-based analytical modeling to in-vitro EIS measurements of bone in-growth around metallic implants during prosthesis osseointegration are presented.
The problem of modeling equivalent circuits for interpreting Electrical Impedance Spectroscopy (EIS) data in monitoring osseointegration level of metallic implants in bone is faced by means of an evolutionary programming approach based on cultural algorithms. With respect to state-of-the-art gene expression programming, the information on search advance acquired by most promising individuals during the evolution is shared with the entire population of potential solutions and stored also for next generations. Experimental results of the application such cultural programming-based analytical modeling to in-vitro EIS measurements of bone in-growth around metallic implants during prosthesis osseointegration are presented.
Automatic modeling based on cultural programming for osseointegration diagnosis
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Automatic modeling based on cultural programming for osseointegration diagnosis
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