Neural network processing for vibrational assessment of bone fracture healing

J. J. Kaufman, A. Chiabrera, N. Hakim, M. Hatem, M. Figueiredo, A. A. Pilla, R. S. Siffert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A method for assessing the strength of a healing fractured bone is described. A four-port electrical network model of the low-frequency (50 Hz-1 kHz) transverse vibration response of a healing fractured bone is derived using Timoshenko beam theory. A backpropagation neural net with one hidden layer processes computer-simulated bone fracture model data and classifies these data with respect to the fracture gap stiffness, relative to intact bone. The effect of changing the number of hidden units is also evaluated. In vivo vibration measurements from a patient with a fractured humerus are presented.

Original languageEnglish
Title of host publicationConference Record - Asilomar Conference on Circuits, Systems & Computers
PublisherPubl by Maple Press, Inc
Pages322-325
Number of pages4
ISBN (Print)0929029301
DOIs
StatePublished - 1989
EventTwenty-Third Annual Asilomar Conference on Signals, Systems & Computers - Pacific Grove, CA, USA
Duration: 30 Oct 19891 Nov 1989

Publication series

NameConference Record - Asilomar Conference on Circuits, Systems & Computers
Volume1
ISSN (Print)0736-5861

Conference

ConferenceTwenty-Third Annual Asilomar Conference on Signals, Systems & Computers
CityPacific Grove, CA, USA
Period30/10/891/11/89

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