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Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique

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4 Author(s)
Kaburlasos, V.G. ; Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece ; Petridis, V. ; Brett, P.N. ; Baker, D.A.

Stapedotomy is a surgical procedure aimed at the treatment of hearing impairment due to otosclerosis. The treatment consists of drilling a hole through the stapes bone in the inner ear in order to insert a prosthesis. Safety precautions require knowledge of the nonmeasurable stapes thickness. The technical goal has been the design of high-level controls for an intelligent mechatronics drilling tool in order to enable the estimation of stapes thickness from measurable drilling data. The goal has been met by learning a map between drilling features, hence no model of the physical system has been necessary. Learning has been achieved as explained in this paper by a scheme, namely the d-σ Fuzzy Lattice Neurocomputing (dσ-FLN) scheme for classification, within the framework of fuzzy lattices. The successful application of the dσ-FLN scheme is demonstrated in estimating the thickness of a stapes bone "on-line" using drilling data obtained experimentally in the laboratory.

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Information Technology in Biomedicine, IEEE Transactions on  (Volume:3 ,  Issue: 4 )