The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 21, 1998

Filed:

Jul. 01, 1997
Applicant:
Inventors:

Bruno Bianco, Genoa, IT;

Alessandro Chiabrera, Genoa, IT;

Jonathan J Kaufman, Brooklyn, NY (US);

Assignee:

Cyberlogic Inc., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61B / ;
U.S. Cl.
CPC ...
600407 ; 600408 ; 600547 ;
Abstract

Non-invasive quantitative in-vivo electromagnetic evaluation of bone is performed by subjecting bone to an electrical excitation wave-form supplied to a pair of electrodes on opposite sides of a bony member, and involving a repetitive finite duration signal consisting of plural frequencies that are in the range 0 Hz-200 MHz. Signal-processing of a bone-current response signal and a bone-voltage response signal is operative to sequentially average the most recently received given number of successive bone-current and bone-voltage response signals to obtain an averaged per-pulse bone-current signal and an averaged per-pulse bone-voltage signal, and to produce their associated Fourier transforms. These Fourier transforms are further processed to obtain the frequency-dependent bone-admittance function. In a separate operation, the same electrodes respond to the same excitation signal via a medium of known electromagnetic properties and path length to establish a reference-voltage signal and reference-current signal, which are processed to produce their associated Fourier transforms. These two Fourier transforms are further processed to produce a frequency-dependent reference-admittance function, which together with the bone-admittance function are processed to derive the frequency-dependent bone-conductivity real function, .sigma.'.sub.b (f), and frequency-dependent dielectric bone-permittivity real function, .di-elect cons.'.sub.b (f). The function .sigma.'.sub.b (f) is related to the energy loss in the bony member, and the function .di-elect cons.'.sub.b (f) is related to the energy storage in the bony member. A neural network, configured to generate an estimate of one or more of the desired bone-related quantities, is connected for response to the functions .sigma.'.sub.b (f) and .di-elect cons.'.sub.b (f), whereby to generate the indicated estimates of bone status, namely, bone-density, bone-architecture, bone-strength and bone-fracture risk.


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