A - Human Necessities – 61 – B
Patent
A - Human Necessities
61
B
349/36
A61B 8/00 (2006.01)
Patent
CA 1218448
12 Abstract: "Method and device for remote tissue identification by statistical modeling and hypothesis testing of echo ultrasound signals". For remote identification of tissue types the scattering of ultrasound energy from living tissue is modeled as an autoregressive or autoregressive moving average random process. Autoregressive or autoregressive moving average models of candidate tissue types are generated from pulse-echo data that is known to come from that particular tissue type. Kalman prediction error filters (220) are used for each candidate tissue type to generate estimates of the probability lnp(Zn/Hi) that an unknown pulse echo signal belongs to the class generated by that tissue type (i). Unknown pulse-echo signals are filtered in a specific Kalman filter (220) to test the hypothesis that the unknown signal belongs to the class associated with that particular Kalman filter.
450264
Barnes Casper W.
Towfiq Farhad
North American Philips Corporation
Van Steinburg C.e.
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