Abstract
Isokinetics systems are now a leading technology for assessing muscle strength and diagnosing muscle injuries. Although expensive, these systems are equipped with computer interfaces that provide only a simple graphical display of the strength data and do not interpret the data. This paper presents the I4 System (Interface for Intelligent Interpretation of Isokinetic Data), developed as a knowledge-based system, which provides an expert knowledge-based analysis of the isokinetic curves. The system was later extended with a KDD architecture for characterising injuries and creating reference models.
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References
Gleeson, N. P. and Mercer, T. H.: The utility of isokinetic dynamometry in the assessment of human muscle function. Sports Medicine, Vol. 21 (1), (1996)
López-Illescas A.: Estudio del balance muscular con técnicas isocinéticas. In: Proceedings of the I Curso de Avances en Rehabilitación, Seville, (1993)
Berndt, D. and Clifford, J.: Finding patterns in Time Series in Advances in Knowledge Discovery and Data Mining, U. Fayyad et al. (Eds.), MIT Press (1996).
Agrawal, R. and Strikant, R.: Mining sequential patterns In: Proc. 1994 Int. Conf. Very Large Data Bases, Santiago, Chile, (1994) 487–499
Alonso, F., Lopez-Chavarrías, I., Valente, J. P. and Montes, C.: Knowledge Discovery in Time Series Using Expert Knowledge in Medical Data Mining and Knowledge Discovery, K. J. Cios (Ed.) Physica-Verlag Heidelberg New York, (2001)z
Valente, J. P, López-Chavarrías, I., and Montes, C., “Functions, rules and models: three complementary techniques for analyzing strength data,”. Proc. of the simposium of the ACM for Applied Computing, (2000).
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Alonso, F., López-Illescas, Á., Martínez, L., Montes, C., Valente, J.P. (2001). Analysis of Strength Data Based on Expert Knowledge. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_5
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DOI: https://doi.org/10.1007/3-540-45497-7_5
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