Customized Design of Hearing Aids Using Statistical Shape Learning

Unal, G.B., Nain, D., Slabaugh, G.G. & Fang, T. (2008). Customized Design of Hearing Aids Using Statistical Shape Learning. Lecture Notes in Computer Science, 5241(2008), pp. 518-526. doi: 10.1007/978-3-540-85988-8_62

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Abstract

3D shape modeling is a crucial component of rapid prototyping systems that customize shapes of implants and prosthetic devices to a patient’s anatomy. In this paper, we present a solution to the problem of customized 3D shape modeling using a statistical shape analysis framework. We design a novel method to learn the relationship between two classes of shapes, which are related by certain operations or transformation. The two associated shape classes are represented in a lower dimensional manifold, and the reduced set of parameters obtained in this subspace is utilized in an estimation, which is exemplified by a multivariate regression in this paper. We demonstrate our method with a felicitous application to estimation of customized hearing aid devices.

Item Type: Article
Additional Information: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-85988-8_62
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/6175

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