@inproceedings{80d11136735f4a11b01361c0323de398,
title = "Neural network processing for vibrational assessment of bone fracture healing",
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.",
author = "Kaufman, \{J. J.\} and A. Chiabrera and N. Hakim and M. Hatem and M. Figueiredo and Pilla, \{A. A.\} and Siffert, \{R. S.\}",
year = "1989",
doi = "10.1109/acssc.1989.1200805",
language = "English",
isbn = "0929029301",
series = "Conference Record - Asilomar Conference on Circuits, Systems \& Computers",
publisher = "Publ by Maple Press, Inc",
pages = "322--325",
booktitle = "Conference Record - Asilomar Conference on Circuits, Systems \& Computers",
note = "23rd Asilomar Conference on Signals, Systems and Computers, ACSSC 1989 ; Conference date: 30-10-1989 Through 01-11-1989",
}