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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 1090-1094
Wei Xu , Mount Sinai Sch. of Med., New York, NY, USA
R.S. Siffert , Mount Sinai Sch. of Med., New York, NY, USA
J.J. Kaufman , Mount Sinai Sch. of Med., New York, NY, USA
ABSTRACT
Investigates the application of time-frequency techniques to ultrasonic signals transmitted through bone to noninvasively determine bone density and strength. Ultrasonic transmission measurements are carried out on 3 samples of human vertebral trabecular bone, using a 1 MHz transducer pair. The data is processed using the wavelet transform according to Mallat's (1989) pyramid algorithm. The wavelet representation thus obtained is then cross-correlated with a wavelet representation of a reference signal to obtain the time-frequency representation associated with a particular bone sample. Results indicate that time-frequency methods may serve to accurately discriminate bone in various biophysical states. Further studies are under way to determine the best set of features associated with the time-frequency representation as well as the optimal means for processing the feature set, including neural networks.<>
INDEX TERMS
bone, biomedical measurement, biomedical ultrasonics, ultrasonic measurement, ultrasonic transmission, wavelet transforms, time-frequency analysis, bioacoustics, biomechanics, acoustic correlation, medical signal processing, neural nets
CITATION

Wei Xu, R. Siffert and J. Kaufman, "Application of wavelet analysis to ultrasonic characterization of bone," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1090-1094.
doi:10.1109/ACSSC.1994.471627
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