METHOD AND APPARATUS FOR DIAGNOSING A DISEASED CONDITION IN TISSUE OF A SUBJECT
First Claim
1. A method for diagnosing a diseased condition of tissue of a subject, including the steps of:
- (a) obtaining impedance data of a target tissue region, said data comprising a plurality of impedance values measured in the target tissue region;
(b) obtaining impedance data of a reference tissue region, said data comprising a plurality of impedance values measured in the reference tissue region being in close proximity to the target tissue region;
(c) applying at least one set of data pre-processing rules to the impedance data of the target tissue region and the impedance data of the reference tissue region, thereby obtaining a classified data set for the target tissue region and a classified data set for the reference tissue region; and
(d) applying a trained evaluation system algorithm for diagnosis of said diseased condition in the target tissue region on the basis of the classified data set for the target tissue region;
wherein the steps (a) and (b) are performed substantially concurrently or immediately consecutively.
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Abstract
The present invention relates to a method and a medical device for diagnosing a diseased condition in tissue of a human or animal subject, wherein tissue electrical impedance measurements are employed. At least one set of data pre-processing rules are applied to impedance of a target tissue region and impedance of a reference tissue region, wherein the reference tissue region is located in close proximity to the target tissue region. The impedance data of the target tissue region and the impedance data of the reference tissue region comprises a plurality of impedance values measured in the target tissue region and the reference tissue region, respectively, wherein the tissue measurements in the two tissue regions are performed substantially concurrently of immediately consecutively. On the basis of the pre-processed data, a trained evaluation system algorithm diagnoses the diseased condition in the target tissue region.
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Citations
20 Claims
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1. A method for diagnosing a diseased condition of tissue of a subject, including the steps of:
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(a) obtaining impedance data of a target tissue region, said data comprising a plurality of impedance values measured in the target tissue region; (b) obtaining impedance data of a reference tissue region, said data comprising a plurality of impedance values measured in the reference tissue region being in close proximity to the target tissue region; (c) applying at least one set of data pre-processing rules to the impedance data of the target tissue region and the impedance data of the reference tissue region, thereby obtaining a classified data set for the target tissue region and a classified data set for the reference tissue region; and (d) applying a trained evaluation system algorithm for diagnosis of said diseased condition in the target tissue region on the basis of the classified data set for the target tissue region; wherein the steps (a) and (b) are performed substantially concurrently or immediately consecutively. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A medical apparatus for diagnosing a diseased condition of tissue of a subject, including:
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an impedance signal unit adapted to obtain impedance data of a target tissue region, said data comprising a plurality of impedance values measured in the target tissue region, to obtain impedance data of a reference tissue region, said data comprising a plurality of impedance values measured in the reference tissue region being in close proximity to the target tissue region, wherein the impedance signal unit is further adapted to obtain the impedance data of the target tissue region and the impedance data of the reference tissue region substantially concurrently or immediately consecutively; a classifying unit adapted to apply at least one set of data pre-processing rules to the impedance data of the target tissue region and to the reference tissue region so as to obtain a classified data set for the target tissue region and a classified data set for the reference tissue region; and a diagnosing unit adapted to perform a trained evaluation system algorithm for diagnosis of said diseased condition in the target tissue region on the basis of the classified data set for the target tissue region. - View Dependent Claims (15, 16, 17, 18, 19, 20)
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Specification