Method and system for detection of physiological conditions

Surgery – Computer assisted medical diagnostics – By comparison of patient data to other data

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600508, A61B 500

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active

058100148

ABSTRACT:
The invention described herein is directed to a method and associated system for the detection of various physiological conditions using multichannel sensor data. Truth data organized in the form of a vector sequence is used to generate a multichannel state variable model for a given known physiological condition. Such state variable models are obtained using one or more of a host of system identification algorithms. Upon identification of the model parameters, a multichannel inverse filter is derived from the model parameters. The inverse filter can be used to whiten or decorrelate sensor data sequences that are associated with the given physiological condition. The degree of whitening is a measure of the match of an unknown physiological condition with that physiological condition represented by the data used to generate the filter. On this basis, a number of such filters can be produced for a variety of physiological conditions. In a preferred embodiment, these filters operate in parallel on a given multichannel data sequence that represents an unknown physiological condition. The outputs of these filters are used in a hypothesis testing formulation to determine the identity of the physiological condition represented by the data under test.

REFERENCES:
patent: 5020540 (1991-06-01), Chamoun
patent: 5390679 (1995-02-01), Martin

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