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US5490516A
Expired / Lapsed
US
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Method and system to enhance medical signals for real-time analysis and high-resolution display
Assignee: Individual
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Filing: 1993-05-06
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Granted: 1996-02-13
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Expires: 2013-05-06
Abstract
Abstract A medical processing and display system that may be used with a medical monitoring device. This system enhances the medical data it receives. Once received, the medical data is reformatted into a two-dimensional matrix, X. A history database and other information are concatenated with the two-dimensional matrix. The concatenated matrix is decomposed using singular value decomposition ("SVD") to obtain corresponding left and right singular vectors, L and R, respectively, and singular values D. Selected singular vectors are transformed to their autocorrelation matrix form, which are concatenated, then decomposed using SVD to their corresponding singular vectors P, P t , and singular values D. Certain of the singular vectors P are selected to filter out signal components of interest. The singular values D of the autocorrelation matrix are modified and used to adjust the weights of the associated singular vectors P. The weighted singular vectors are then combined and the resulting coefficients are used as a FIR filter to enhance the original singular vectors L and/or R t to enhance singular values L e , R e . Enhanced medical data containing the features of interest X e is generated from the enhanced original matrix singular values L e and R e , and modified singular values D e , and the results may be displayed to a diagnotician in various formats.
Inventors
- 👤 William H. Hutson
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 23:16
CPC Classifications
G; G01; G01S; G01S3/00; G01S3/80; G01S3/802; G01S15/00; G01S15/88; G01S15/89; G01S15/8906; G01S15/899; G01S7/00; G01S7/02; G01S7/04; G01S7/06; G01S7/20; G01S7/52; G01S7/52017; G01S7/52053; G01S7/56; G01S7/62; G01S7/6245; G06; G06F; G06F17/00; G06F17/10; G06F17/16; G06T; G06T11/00; G16; G16H; G16H10/00; G16H10/60; G16H50/00; G16H50/20; G16H50/70; A; A61; A61B; A61B2576/00; G06F2218/00; G06F2218/02; G06F2218/08; G16H30/00; G16H30/20; G16H30/40; Y; Y10; Y10S; Y10S128/00; Y10S128/901
Claims Analysis
Total Claims: 54
Claim 1
Independent Claim
86 words
A method of enhancing medical signals received from a monitoring device comprising the steps of: inputting medical signals: extracting data from said medical signals; embedding said data into a data matrix; compressing said data matrix into a compressed-data-form; formatting a portion of said compressed-data-form into at least one auto-correlation matrix; determining the structural characteristics of each said autocorrelation matrix; filtering said compressed-data-form based on said structural characteristics to form a filtered compressed-data-form; and expanding selected data values in said filtered compressed-data-form to result in enhanced data.
Claim 2
Independent Claim
86 words
A method of enhancing medical signals received from a monitoring device comprising the steps of: inputting medical signals: extracting data from said medical signals; embedding said data into a data matrix; compressing said data matrix into a compressed-data-form; formatting a portion of said compressed-data-form into at least one auto-correlation matrix; determining the structural characteristics of each said autocorrelation matrix; filtering said compressed-data-form based on said structural characteristics to form a filtered compressed-data-form; and expanding selected data values in said filtered compressed-data-form to result in enhanced data.
Claim 3
Dependent Claim
29 words
The method of claim 1, further comprising the step of displaying said enhanced data on a display screen wherein said display shows features of interest in said medical signal.
Claim 4
Dependent Claim
17 words
The method of claim 1, further comprising the step of modifying selected data values in said compressed-data-form.
Claim 5
Dependent Claim
22 words
The method of claim 3, said compressing step further including decomposing said data matrix into first singular vectors and first singular values.
Claim 6
Dependent Claim
19 words
The method of claim 4, wherein at least one said first singular vector is modified by said modifying step.
Claim 7
Dependent Claim
19 words
The method of claim 4, wherein at least one said first singular value is modified by said modifying step.
Claim 8
Dependent Claim
55 words
The method of claim 4 wherein said formatting step further includes: transforming at least one said first singular vector into a set of frequency domain coefficients; multiplying each said coefficient by a complex conjugate; transforming each coefficient into a set of time domain coefficients; and placing said time domain coefficients in a Toeplitz matrix form.
Claim 9
Dependent Claim
20 words
The method of claim 7 further comprising weighting said combined selected second singular vectors by said corresponding second singular values.
Claim 10
Dependent Claim
28 words
The method of claim 3 wherein said method further includes modifying said data matrix by multiplying at least a portion of said data matrix by a singular vector.
Claim 11
Dependent Claim
15 words
The method of claim 3 wherein said method further includes partitioning said compressed-data-form into subspaces.
Claim 12
Dependent Claim
19 words
The method of claim 10 wherein said compressed-data-form is partitioned into subspaces on the basis of said singular values.
Claim 13
Dependent Claim
23 words
The method of claim 11, said method including the step of saving at least one subspace of said compressed-data-form in a historical database.
Claim 14
Dependent Claim
23 words
The method of claim 1, said method including the step of saving at least a portion of said compressed-data-form in a historical database.
Claim 15
Dependent Claim
24 words
The method of claim 13, said method including the step of concatenating said historical database with said data matrix before compressing said data matrix.
Claim 16
Dependent Claim
23 words
The method of claim 13, said method including the step of concatenating said historical database with said compressed-matrix-form after compressing said data matrix.
Claim 17
Dependent Claim
18 words
The method of claim 13 wherein said method further includes modifying said historical database before saving said database.
Claim 18
Dependent Claim
23 words
The method of claim 1 including the step of concatenating a medical data model with said data matrix before compressing said data matrix.
Claim 19
Dependent Claim
13 words
The method of claim 17 wherein said medical data model comprises compressed data.
Claim 20
Dependent Claim
23 words
The method of claim 1 including the step of concatenating a medical data model with said data matrix after compressing said data matrix.
Claim 21
Dependent Claim
13 words
The method of claim 19 wherein said medical data model comprises compressed data.
Claim 22
Dependent Claim
18 words
The method of claim 1, said compressing step further including decomposing said data matrix into eigenvectors and eigenvalues.
Claim 23
Dependent Claim
37 words
The method of claim 1 wherein said method further includes scaling said information in said data matrix by multiplying said information at a selected location in said data matrix by a data coefficient associated with said location.
Claim 24
Dependent Claim
22 words
The method of claim 1, said determining step further comprising decomposing said autocorrelation matrix into second singular vectors and second singular values.
Claim 25
Dependent Claim
26 words
The method of claim 23 further comprising the step of filtering said first singular vectors by said second singular vectors to result in filtered singular vectors.
Claim 26
Dependent Claim
21 words
The method of claim 24, said expanding step further comprising combining selected second singular vectors together to form enhanced singular vectors.
Claim 27
Independent Claim
82 words
A method of compressing and storing medical data for later retrieval, comprising: inputting medical signals: extracting data from said medical signals; embedding said data into a data matrix; compressing said data matrix into a compressed-data-form; formatting said data matrix into a compressed-data-form into at least one autocorrelation matrix; determining the structural characteristics of each said autocorrelation matrix; filtering said compressed-data-form based on said structural characteristics to form a filtered compressed-data-form; saving selected data values in said filtered compressed-data-form in a computer-readable format.
Claim 28
Independent Claim
82 words
A method of compressing and storing medical data for later retrieval, comprising: inputting medical signals: extracting data from said medical signals; embedding said data into a data matrix; compressing said data matrix into a compressed-data-form; formatting said data matrix into a compressed-data-form into at least one autocorrelation matrix; determining the structural characteristics of each said autocorrelation matrix; filtering said compressed-data-form based on said structural characteristics to form a filtered compressed-data-form; saving selected data values in said filtered compressed-data-form in a computer-readable format.
Claim 29
Independent Claim
98 words
A system for enhancing medical signals received from a monitoring device comprising: extractor for extracting data from medical signals; embedder for embedding said data into a data matrix; compressor for compressing said data matrix into a first compressed-data-form; formatter for formatting a portion of said first compressed-data-form into at least one autocorrelation matrix; means for determining the structural characteristics of each said autocorrelation matrix; filter for filtering said first compressed-data-form based on said structural characteristics to form a filtered first compressed-data-form; and expander for expanding selected data values in said filtered first compressed-data-form to result in enhanced data.
Claim 30
Independent Claim
98 words
A system for enhancing medical signals received from a monitoring device comprising: extractor for extracting data from medical signals; embedder for embedding said data into a data matrix; compressor for compressing said data matrix into a first compressed-data-form; formatter for formatting a portion of said first compressed-data-form into at least one autocorrelation matrix; means for determining the structural characteristics of each said autocorrelation matrix; filter for filtering said first compressed-data-form based on said structural characteristics to form a filtered first compressed-data-form; and expander for expanding selected data values in said filtered first compressed-data-form to result in enhanced data.
Claim 31
Dependent Claim
35 words
The system of claim 27, further comprising a display system for displaying said enhanced data with the display system including a display screen that is capable of displaying features of interest in said medical signals.
Claim 32
Dependent Claim
18 words
The system of claim 27, further comprising a first modifier for modifying selected data values in first compressed-data-form.
Claim 33
Dependent Claim
26 words
The system of claim 29, wherein said compressor further includes a decomposer for a decomposing said data matrix into first singular vectors and first singular values.
Claim 34
Dependent Claim
19 words
The system of claim 30, wherein at least one said first singular vector is modified by said modifier first.
Claim 35
Dependent Claim
19 words
The system of claim 30, wherein at least one said first singular value is modified by said modifier first.
Claim 36
Dependent Claim
32 words
The system of claim 29, wherein said system further includes a third modifier for modifying said data matrix by multiplying at least a portion of said data matrix by a singular vector.
Claim 37
Dependent Claim
19 words
The system of claim 29, wherein said system further includes a partitioner for partitioning said first compressed-data-form into subspaces.
Claim 38
Dependent Claim
20 words
The system of claim 34, wherein the partitioner partitions said compressed-data-form into subspaces on the basis of said singular values.
Claim 39
Dependent Claim
25 words
The system of claim 35, wherein said system includes storage means which stores at least one subspace of said first compressed-data-form in a historical database.
Claim 40
Dependent Claim
25 words
The system of claim 27, wherein said system includes storage means which stores at least a portion of said first compressed-data-form in a historical database.
Claim 41
Dependent Claim
27 words
The system of claim 37, wherein said system includes concatenating means for concatenating said historical database with said data matrix before the compressor compresses said data matrix.
Claim 42
Dependent Claim
26 words
The system of claim 37, said system includes concatenating means for concatenating said historical database with said first compressed-matrix-form after the compressor compresses said data matrix.
Claim 43
Dependent Claim
21 words
The system of claim 37 wherein said system further includes a second modifier means said historical database before storing said database.
Claim 44
Dependent Claim
26 words
The system of claim 27, wherein the includes concatenating means concatenates a medical data model with said data matrix before the compressor compresses said data matrix.
Claim 45
Dependent Claim
13 words
The system of claim 41, wherein said medical data model comprises compressed data.
Claim 46
Dependent Claim
28 words
The system of claim 27, wherein the system includes concatenating means which concatenates a medical data model with said data matrix after the compressor compresses said data matrix.
Claim 47
Dependent Claim
13 words
The system of claim 43, wherein said medical data model comprises compressed data.
Claim 48
Dependent Claim
21 words
The system of claim 27, wherein said compressor further includes a decomposer for decomposing said data matrix into eigenvectors and eigenvalues.
Claim 49
Dependent Claim
40 words
The system of claim 27, wherein said system further includes a scalar for scaling said information in said data matrix by multiplying said information at a selected location in said data matrix by a data coefficient associated with said location.
Claim 50
Dependent Claim
27 words
The system of claim 27, wherein said means for determining further compresses a decompressor for decomposing said autocorrelation matrix into second singular vectors and second singular values.
Claim 51
Dependent Claim
30 words
The system of claim 47, wherein the system further includes second filter means for filtering said first singular vectors by said second singular vectors to result in filtered singular vectors.
Claim 52
Dependent Claim
23 words
The system of claim 48, wherein the expander further includes a combiner for combining selected second singular vectors to form enhanced singular vectors.
Claim 53
Independent Claim
92 words
A system for compressing and saving medical data for later retrieval, comprising: extraction for extracting data from medical signals; embedder for embedding said data into a data matrix; compressor for compressing said data matrix into a compressed-data-form; formatter for formatting a portion of said compressed-data-form into at least one autocorrelation matrix; means for determining the structural characteristics of each said autocorrelation matrix; filter for filtering said compressed-data-form based on said structural characteristics to form a filtered compressed-data-form; storage means for storing selected data values in said filtered compressed-data-form in a computer-readable format.
Claim 54
Independent Claim
92 words
A system for compressing and saving medical data for later retrieval, comprising: extraction for extracting data from medical signals; embedder for embedding said data into a data matrix; compressor for compressing said data matrix into a compressed-data-form; formatter for formatting a portion of said compressed-data-form into at least one autocorrelation matrix; means for determining the structural characteristics of each said autocorrelation matrix; filter for filtering said compressed-data-form based on said structural characteristics to form a filtered compressed-data-form; storage means for storing selected data values in said filtered compressed-data-form in a computer-readable format.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1999-02-12 | 1999-08-14 | 2000-02-13 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2003-02-12 | 2003-08-14 | 2004-02-13 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2007-02-12 | 2007-08-14 | 2008-02-13 | $7700.00 | Window Closed / Lapsed |