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On-line estimation of the stapes-bone thickness in stapedotomy by learning a linear association of the force and torque drilling profiles

The paper reports on the successful application of novel learning, classification and feature extraction techniques to the stapedotomy surgical procedure. Estimation of the stapes bone thickness from force and torque data during drilling was achieved by learning a linear mapping of force features to torque features. Learning was attained by employing the two level fuzzy lattice (2L-FL) scheme for supervised clustering. Experimental results demonstrate that the thickness of a stapes bone can be specified online during drilling.