title: A neural network approach for bone fracture healing assessment.
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.
authors.affiliation: Dept. of Orthopedics, Mount Sinai Sch. of Med., New York, NY.
authors.forename: J J
authors.initials: JJ
authors.lastname: Kaufman
authors.forename: A
authors.initials: A
authors.lastname: Chiabrera
authors.forename: M
authors.initials: M
authors.lastname: Hatem
authors.forename: N Z
authors.initials: NZ
authors.lastname: Hakim
authors.forename: M
authors.initials: M
authors.lastname: Figueiredo
authors.forename: P
authors.initials: P
authors.lastname: Nasser
authors.forename: S
authors.initials: S
authors.lastname: Lattuga
authors.forename: A A
authors.initials: AA
authors.lastname: Pilla
authors.forename: R S
authors.initials: RS
authors.lastname: Siffert