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US5348020A
Expired / Lapsed
US
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Method and system for near real-time analysis and display of electrocardiographic signals
Assignee: TSA AMERICA Inc A CORP OF DELAWARE
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Filing: 1992-12-15
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Granted: 1994-09-20
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Expires: 2012-12-15
Abstract
Abstract The multidimensional ECG processing and display system of the present invention is used with an electrocardiographic (ECG) monitoring system. Input ECG data from multiple, sequential time intervals is collected and formatted into a two-dimensional matrix. The two-dimensional matrix is decomposed using singular value decomposition (SVD) to obtain its corresponding singular values and singular vectors, a compressed form of the matrix. The singular vectors are analyzed and filtered to identify and enhance signal components of interest. Selected singular vectors are transformed into their frequency domain representations by the Fast Fourier Transform (FFT), or related techniques. Certain data elements in the two-dimensional matrix are enhanced or diminished by modifying the singular values within groups of singular vectors to enhance certain objects that are associated with the ECG data and to diminish other features within the data. The enhanced data is expanded back into its original form and features in the ECG data are displayed as opaque objects within a transparent data cube.
Inventors
- 👤 William H. Hutson
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-06 08:24
CPC Classifications
A; A61; A61B; A61B5/00; A61B5/24; A61B5/316; A61B5/318; A61B5/339; A61B5/346; A61B5/349; A61B5/363; A61B5/366; A61B5/72; A61B5/7232; A61B5/7235; A61B5/7253; G; G01; G01S; G01S11/00; G01S11/14; G01S15/00; G01S15/88; G01S15/89; G01S15/8906; G01S15/899; G01S3/00; G01S3/80; G01S3/802; G01S7/00; G01S7/02; G01S7/04; G01S7/06; G01S7/20; G01S7/52; G01S7/56; G01S7/62; G01S7/6245; G01V; G01V1/00; G01V1/28; G06; G06F; G06F17/00; G06F17/10; G06F17/16; A61B5/35; A61B5/7203; A61B5/7207; A61B5/7257; G01V2210/00; G01V2210/20; G06F2218/00; G06F2218/02; G06F2218/08
Claims Analysis
Total Claims: 57
Claim 1
Independent Claim
101 words
A method of analyzing an electrocardiographic (ECG) signal, for determining diagnostic information comprising: analyzing the ECG signal to determine enhanced predetermined characteristics of the ECG signal according to the steps of, extracting data relating to said signals as received by an ECG monitoring system; embedding said data into a data matrix; compressing said data matrix into a compressed-data-form; modifying selected data values in said compressed-data-form based on a function of said data values in said compressed-data-form; expanding said compressed-data-form to an enhanced data matrix that contains data representing said enhanced predetermined characteristics. determining from said enhanced data matrix said diagnostic information.
Claim 2
Independent Claim
101 words
A method of analyzing an electrocardiographic (ECG) signal, for determining diagnostic information comprising: analyzing the ECG signal to determine enhanced predetermined characteristics of the ECG signal according to the steps of, extracting data relating to said signals as received by an ECG monitoring system; embedding said data into a data matrix; compressing said data matrix into a compressed-data-form; modifying selected data values in said compressed-data-form based on a function of said data values in said compressed-data-form; expanding said compressed-data-form to an enhanced data matrix that contains data representing said enhanced predetermined characteristics. determining from said enhanced data matrix said diagnostic information.
Claim 3
Dependent Claim
27 words
The method of claim 1, wherein the method further includes a displaying step for displaying said enhanced data matrix on a display screen to show said characteristics.
Claim 4
Dependent Claim
21 words
The method of claim 1, wherein said compressing step further including decomposing said data matrix into singular vectors and singular values.
Claim 5
Dependent Claim
18 words
The method of claim 3, wherein at least one said singular vector is modified by said modifying step.
Claim 6
Dependent Claim
18 words
The method of claim 3, wherein at least one said singular value is modified by said modifying step.
Claim 7
Dependent Claim
25 words
The method of claim 3, wherein the method further includes the step of saving at least one subspace of said compressed-data-form in a historical database.
Claim 8
Dependent Claim
28 words
The method of claim 3, wherein the method further includes modifying said data matrix by multiplying at least a portion of said data matrix by a singular vector.
Claim 9
Dependent Claim
15 words
The method of claim 3, wherein the method further includes partitioning said compressed-data-form into subspaces.
Claim 10
Dependent Claim
22 words
The method of claim 8, wherein said compressed-data-form is partitioned into subspaces on the basis of a function of said singular values.
Claim 11
Dependent Claim
22 words
The method of claim 8, wherein said compressed-data-form is partitioned into subspaces on the basis of a function of its singular vectors.
Claim 12
Dependent Claim
25 words
The method of claim 1, wherein the method further includes the step of saving at least a portion of said compressed-data-form in a historical database.
Claim 13
Dependent Claim
26 words
The method of claim 11, wherein the method further includes the step of concatenating said historical database with said data matrix before compressing said data matrix.
Claim 14
Dependent Claim
25 words
The method of claim 11, wherein the method further includes the step of concatenating said historical database with said compressed-matrix-form after compressing said data matrix.
Claim 15
Dependent Claim
18 words
The method of claim 11, wherein the method further includes modifying said historical database before saving said database.
Claim 16
Dependent Claim
63 words
The method of claim 1, wherein said compressing step further includes: partitioning said data signals into at least two two-dimensional data matrices; concatenating said two-dimensional data matrices along a common dimension to form a concatenated two-dimensional data matrix; and decomposing said concatenated two-dimensional data matrix into singular vectors and singular values, with said compressed matrix form including said singular vectors and singular values.
Claim 17
Dependent Claim
89 words
The method of claim 1, wherein said compressing step further includes: partitioning said data signals into at least a first two-dimensional data matrix and a second two-dimensional data matrix; decomposing said first two-dimensional data matrix into first singular vectors and first singular values; concatenating said first singular vectors and said first singular values with said second two-dimensional data matrix; and decomposing said concatenated second two-dimensional data matrix into second singular vectors and second singular values, with said compressed-matrix form including said second singular vectors and said second singular values.
Claim 18
Dependent Claim
100 words
The method of claim 1, wherein said compressing step further includes: partitioning said data signals into at least a first two-dimensional data matrix and a second two-dimensional data matrix; decomposing said first two-dimensional data matrix into first singular vectors and first singular values; decomposing said second two-dimensional data matrix into second singular vectors and second singular values; concatenating said first singular vectors with said second singular vectors to form concatenated singular vectors; and decomposing said concatenated singular vectors into final singular vectors and final singular values, with said compressed-matrix form including said final singular vectors and said final singular values.
Claim 19
Dependent Claim
18 words
The method of claim 1, said compressing step further including decomposing said data matrix into eigenvectors and eigenvalues.
Claim 20
Dependent Claim
11 words
The method of claim 1, wherein said data matrix is three-dimensional.
Claim 21
Dependent Claim
13 words
The method of claim 19, wherein one of said dimensions is ECG lead.
Claim 22
Dependent Claim
14 words
The method of claim 19, wherein one of said dimensions is heartbeat time history.
Claim 23
Dependent Claim
15 words
The method of claim 19, wherein one of said dimensions is composed of waveform segments.
Claim 24
Dependent Claim
21 words
The method of claim 1, wherein said data matrix contains data relating to a function of the amplitude of said signals.
Claim 25
Dependent Claim
38 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 multi-dimensional data matrix by a data coefficient associated with said location.
Claim 26
Dependent Claim
36 words
The method of claim 1, wherein the method further includes the step of displaying said enhanced data matrix as an opaque data cube with said enhanced data signals being displayed as objects within said data cube.
Claim 27
Dependent Claim
29 words
The method of claim 25, wherein the method further includes the step of selecting portions of said transparent data cube display and displaying said selected portions as two-dimensional data.
Claim 28
Independent Claim
102 words
A method of determining the presence or absence of a predetermined level of high frequency spectral energy in the late QRS signal of an electrocardiograph signal, comprising the steps of: extracting data relating to said electrocardiograph signal as received by an ECG monitoring system; embedding said data into a data matrix; decomposing said data matrix into singular vectors; segmenting said singular vectors into a series of time intervals; transforming said segmented singular vectors into a corresponding power spectra form; and indicating the presence of ventricular late potentials by determining whether said predetermined level of spectral energy is present in said spectra form.
Claim 29
Independent Claim
102 words
A method of determining the presence or absence of a predetermined level of high frequency spectral energy in the late QRS signal of an electrocardiograph signal, comprising the steps of: extracting data relating to said electrocardiograph signal as received by an ECG monitoring system; embedding said data into a data matrix; decomposing said data matrix into singular vectors; segmenting said singular vectors into a series of time intervals; transforming said segmented singular vectors into a corresponding power spectra form; and indicating the presence of ventricular late potentials by determining whether said predetermined level of spectral energy is present in said spectra form.
Claim 30
Dependent Claim
21 words
The method of claim 27 including the step of alerting an attendant when the presence of ventrical late potentials is indicated.
Claim 31
Independent Claim
109 words
A system for analyzing an electrocardiograph signal, and for determining diagnostic information therefrom comprising: means for analyzing said ECG signal to determine enhanced predetermined characteristics thereof, means for extracting data signals relating to said signals as received by an ECG monitoring system; means for embedding said data into a data matrix; means for compressing said data matrix into a compressed-data-form; means for modifying selected data values in said compressed-data-form based on a function of said data values in said compressed-data-form; means for expanding said compressed-data-form to an enhanced data matrix that contains data representing said enhanced predetermined characteristics, means for determining said diagnostic information from said enhanced data matrix.
Claim 32
Independent Claim
109 words
A system for analyzing an electrocardiograph signal, and for determining diagnostic information therefrom comprising: means for analyzing said ECG signal to determine enhanced predetermined characteristics thereof, means for extracting data signals relating to said signals as received by an ECG monitoring system; means for embedding said data into a data matrix; means for compressing said data matrix into a compressed-data-form; means for modifying selected data values in said compressed-data-form based on a function of said data values in said compressed-data-form; means for expanding said compressed-data-form to an enhanced data matrix that contains data representing said enhanced predetermined characteristics, means for determining said diagnostic information from said enhanced data matrix.
Claim 33
Dependent Claim
31 words
The system of claim 29, wherein the system further includes means for displaying said enhanced data matrix on a display screen with said display showing said characteristics of said signal-generating objects.
Claim 34
Dependent Claim
24 words
The system of claim 29, wherein said means for compressing further including means for decomposing said data matrix into singular vectors and singular values.
Claim 35
Dependent Claim
18 words
The system of claim 31, wherein at least one said singular vector is modified by said modifying means.
Claim 36
Dependent Claim
18 words
The system of claim 31, wherein at least one said singular value is modified by said modifying means.
Claim 37
Dependent Claim
30 words
The system of claim 31, wherein the system further includes means for modifying said data matrix by multiplying at least a portion of said data matrix by a singular vector.
Claim 38
Dependent Claim
17 words
The system of claim 31, wherein the system further includes means for partitioning said compressed-data-form into subspaces.
Claim 39
Dependent Claim
22 words
The system of claim 35 wherein said compressed-data-form is partitioned into subspaces on the basis of a function of said singular values.
Claim 40
Dependent Claim
22 words
The system of claim 35 wherein said compressed-data-form is partitioned into subspaces on the basis of a function of its singular vectors.
Claim 41
Dependent Claim
24 words
The system of claim 35, wherein the system further includes means for saving at least one subspace of said compressed-data-form in a historical database.
Claim 42
Dependent Claim
24 words
The system of claim 29, wherein the system further includes means for saving at least a portion of said compressed-data-form in a historical database.
Claim 43
Dependent Claim
25 words
The system of claim 39, wherein the system further includes means for concatenating said historical database with said data matrix before compressing said data matrix.
Claim 44
Dependent Claim
24 words
The system of claim 39, wherein the system further includes means for concatenating said historical database with said compressed-matrix-form after compressing said data matrix.
Claim 45
Dependent Claim
20 words
The system of claim 39, wherein the system further includes means for modifying said historical database before saving said database.
Claim 46
Dependent Claim
71 words
The system of claim 29, wherein said means for compressing further includes: means for partitioning said data signals into at least two two-dimensional data matrices; means for concatenating said two-dimensional data matrices along a common dimension to form a concatenated two-dimensional data matrix; and means for decomposing said concatenated two-dimensional data matrix into singular vectors and singular values, with said compressed matrix form including said singular vectors and said singular values.
Claim 47
Dependent Claim
98 words
The system of claim 29, wherein said means for compressing further includes: means for partitioning said data signals into at least a first two-dimensional data matrix and a second two-dimensional data matrix: means for decomposing said first two-dimensional data matrix into first singular vectors and first singular values; means for concatenating said first singular vectors and said first singular values with said second two-dimensional data matrix; and means for decomposing said concatenated second two-dimensional data matrix into second singular vectors and second singular values, with said compressed-matrix form including said second singular vectors and said second singular values.
Claim 48
Dependent Claim
111 words
The system of claim 29, wherein said means for compressing further includes: means for partitioning said data signals into at lease a first two-dimensional data matrix and a second two-dimensional data matrix; means for decomposing said first two-dimensional data matrix into first singular vectors and first singular values; means for decomposing said second two-dimensional data matrix into second singular vectors and second singular values; means for concatenating said first singular vectors with said second singular vectors to form concatenated singular vectors; and means for decomposing said concatenated singular vectors into final singular vectors and final singular values, with said compressed-matrix form including said final singular vectors and said final singular values.
Claim 49
Dependent Claim
22 words
The system of claim 29, wherein said means for compressing further including means for decomposing said data matrix into eigenvectors and eigenvalues.
Claim 50
Dependent Claim
11 words
The system of claim 29, wherein said data matrix is three-dimensional.
Claim 51
Dependent Claim
13 words
The system of claim 47, wherein one of said dimensions is ECG lead.
Claim 52
Dependent Claim
14 words
The system of claim 47, wherein one of said dimensions is heartbeat time history.
Claim 53
Dependent Claim
13 words
The system of claim 47, wherein one of said dimensions is waveform segments.
Claim 54
Dependent Claim
21 words
The system of claim 29, wherein said data matrix contains data relating to a function of the amplitude of said signals.
Claim 55
Dependent Claim
40 words
The system of claim 29, wherein said system further includes means for scaling said information in said data matrix by multiplying said information at a selected location in said multi-dimensional data matrix by a data coefficient associated with said location.
Claim 56
Dependent Claim
35 words
The system of claim 29, wherein said system includes means for displaying said enhanced data matrix as a transparent data cube wherein said data signals are displayed as opaque objects within said transparent data cube.
Claim 57
Dependent Claim
30 words
The system of claim 53, wherein the system further includes means for selecting portions of said transparent data cube display and means for displaying said selected portions as two-dimensional data.
References Cited (Backward Citations)
US3894348A
Cited
US4422459A
Cited
US4458691A
Cited
US4458692A
Cited
US4492235A
Cited
US4630204A
Cited
US4736199A
Cited
US4965732A
Cited
US5010504A
Cited
US4973111A
Cited
US4839853A
Cited
US5031155A
Cited
US4995011A
Cited
US5109863A
Cited
US5001747A
Cited
US5175710A
Cited
US5245587A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
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| 3.5 Years (Year 4) | 1997-09-19 | 1998-03-21 | 1998-09-20 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2001-09-19 | 2002-03-21 | 2002-09-20 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2005-09-19 | 2006-03-21 | 2006-09-20 | $7700.00 | Window Closed / Lapsed |