A neural network approach for bone fracture healing assessment
- 1 September 1990
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Engineering in Medicine and Biology Magazine
- Vol. 9 (3) , 23-30
- https://doi.org/10.1109/51.59209
Abstract
An approach based on auscultatory percussion, a technique used by some orthopedists both for bone fracture detection and bone fracture healing assessment, is described. Low-frequency, low-intensity mechanical power, very much like the finger tap of orthopedists, is used to evaluate the vibrational response of the bone. The novel element is the data processing, which incorporates specialized preprocessing and a neural network for estimating fractured bone strength. In addition, a new mathematical model for the vibrational response of a fractured limb, which provides data to design and test the neural network processing scheme, is presented. An experimental procedure is described for acquiring real data from animal and human fractures in a form necessary for neural network input.Keywords
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