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US20010020137A1
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Method and computer program product for assessing neurological conditions and treatments using evoked response potentials
Assignee: University of California
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Filing: 2001-02-02
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Granted: —
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Expires: 2021-02-02
Abstract
Abstract A method is provided for diagnosing the presence of a neurological disorder or otherwise assessing the neurological condition of a patient. The method also allows the assessment of a treatment regimen used by a patient. The method includes the collection and analysis of ERP data. The method of the invention begins by conducting a plurality of ERP trials on a patient. In an embodiment of the invention, the data from the ERP trials is then characterized to produce a characterizing ERP signal vector for the patient. Projections based on the characterizing ERP signal vector are then generated. The projections are compared to information derived from the ERP data of patients having known neurological conditions. To perform diagnosis, the projections are compared to standards, such as one or more characterizing ERP signal vectors from known healthy patients, and one or more characterizing ERP signal vectors from patients known to have the disorder. The probable presence or absence of the neurological disorder is decided by a weighted vote of the projections, where the weighting is a function of how closely each projection compares to the respective standards. Projections can also be used to perform other types of neurological assessment, such as tracking a patient's response to a treatment regimen, assessing the treatability of a patient with respect to a particular regimen, determining the effects of a particular regimen, or categorizing a patient in order to create a homogenous group for a clinical trial.
Inventors
- 👤 Richard Granger
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-22 23:20
CPC Classifications
A; A61; A61B; A61B5/00; A61B5/72; A61B5/7235; A61B5/7246; A61B5/24; A61B5/316; A61B5/369; A61B5/377; A61B5/40; A61B5/4076; A61B5/4088; G; G16; G16H; G16H20/00; G16H20/30; G16H40/00; G16H40/60; G16H40/63; G16H50/00; G16H50/20; G16H50/70; Y; Y10; Y10S; Y10S128/00; Y10S128/92
Claims Analysis
Total Claims: 75
Claim 1
Independent Claim
81 words
1 . A method of facilitating the diagnosis of a neurological disorder, comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on a patient under assessment; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the patient under assessment; and (c) conducting a weighted vote process that is based on the projections, to aid in determining the presence of the neurological disorder.
Claim 2
Dependent Claim
81 words
1 . A method of facilitating the diagnosis of a neurological disorder, comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on a patient under assessment; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the patient under assessment; and (c) conducting a weighted vote process that is based on the projections, to aid in determining the presence of the neurological disorder.
Claim 3
Dependent Claim
31 words
2 . The method of claim 1 , wherein said step (a) comprises the step of repeating an ERP trial approximately once every one to two seconds, for approximately two minutes.
Claim 4
Dependent Claim
78 words
3 . The method of claim 1 , further comprising the step of: (d) characterizing ERP signals obtained from the plurality of trials performed on the patient under assessment, to produce a characterizing ERP signal vector for the patient under assessment; wherein said step (d) is performed after said step (a) and before said step (b), and wherein said step (b) comprises generating a plurality of projections of the characterizing ERP signal vector of the patient under assessment.
Claim 5
Dependent Claim
88 words
4 . The method of claim 3 , wherein said step (d) comprises the steps of: (i) for each ERP trial, concatenating the signals received by electrodes of an ERP trial apparatus in a predetermined order to form a concatenated signal; (ii) for each ERP trial, sampling the concatenated signal at a predetermined sampling rate, to form a vector of amplitude values for each ERP trial; and (iii) averaging corresponding amplitude values taken from each vector, to form a characterizing ERP signal vector of the patient under assessment.
Claim 6
Dependent Claim
22 words
5 . The method of claim 4 , wherein said step ii) comprises sampling each concatenated signal approximately once every 10 milliseconds.
Claim 7
Dependent Claim
31 words
6 . The method of claim 3 , wherein said step (b) comprises randomly deleting components of the characterizing ERP signal vector of the patient under assessment to create the projections.
Claim 8
Dependent Claim
35 words
7 . The method of claim 3 , wherein said step (b) comprises deleting components of the characterizing ERP signal vector of the patient under assessment according to a deterministic algorithm to create the projections.
Claim 9
Dependent Claim
35 words
8 . The method of claim 1 , wherein said step (c) comprises the step of: (i) comparing each projection with characterizing ERP signal vectors from other patients, to produce comparison results for each projection.
Claim 10
Dependent Claim
39 words
9 . The method of claim 8 , wherein said step (i) comprises comparing each projection with at least one characterizing ERP signal vector from at least one patient, respectively, known not to be afflicted with the neurological disorder.
Claim 11
Dependent Claim
38 words
10 . The method of claim 8 , wherein said step (i) comprises comparing each projection with at least one characterizing ERP signal vector from at least one patient, respectively, known to be afflicted with the neurological disorder.
Claim 12
Dependent Claim
269 words
11 . The method of claim 8 , wherein said step (i) comprises the steps of: (A) deriving a healthy weight value for each projection and each characterizing ERP signal vector from a healthy patient, wherein the healthy weight value is determined by a degree of correlation between the projection and the characterizing ERP signal vector from the healthy patient, such that a greater degree of correlation between the projection and the characterizing ERP signal vector from the healthy patient corresponds to a larger healthy weight value; (B) deriving a disorder weight value for each projection and each characterizing ERP signal vector from a patient known to have the neurological disorder, wherein the disorder weight value is determined by a degree of correlation between the projection and the characterizing ERP signal vector from the patient known to have the neurological disorder, such that a greater degree of correlation between the projection and the characterizing ERP signal vector from the patient known to have the neurological disorder corresponds to a larger disorder weight value; (C) for each characterizing ERP signal vector from a healthy patient, summing the healthy weight values for all projections, to produce a healthy sum corresponding to the associated healthy patient; (D) for each characterizing ERP signal vector from a patient known to have the neurological disorder, summing the disorder weight values for all projections, to create a disorder sum corresponding to the associated patient known to have the neurological disorder; (E) comparing the healthy sums and the disorder sums; and (F) determining whether any of the disorder sums is greater than any of the healthy sums.
Claim 13
Dependent Claim
178 words
12 . A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the diagnosis of a neurological disorder, the computer readable program code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials conducted on a patient under assessment, to produce a characterizing ERP signal vector of the patient under assessment; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the patient under assessment; (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients; and (d) fourth computer readable program code means for causing the computer to conduct a weighted vote process that is based on comparison results of each projection, to aid in determining the probable presence of the neurological disorder.
Claim 14
Dependent Claim
178 words
12 . A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the diagnosis of a neurological disorder, the computer readable program code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials conducted on a patient under assessment, to produce a characterizing ERP signal vector of the patient under assessment; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the patient under assessment; (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients; and (d) fourth computer readable program code means for causing the computer to conduct a weighted vote process that is based on comparison results of each projection, to aid in determining the probable presence of the neurological disorder.
Claim 15
Dependent Claim
102 words
13 . A method of facilitating determination of treatability, with respect to a first treatment regimen, of a patient under assessment, the method comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on the patient under assessment; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the patient under assessment; and (c) comparing the plurality of projections to data collected from at least one other patient, to aid in assessing the likely responsiveness of the patient under assessment to the first treatment regimen.
Claim 16
Dependent Claim
102 words
13 . A method of facilitating determination of treatability, with respect to a first treatment regimen, of a patient under assessment, the method comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on the patient under assessment; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the patient under assessment; and (c) comparing the plurality of projections to data collected from at least one other patient, to aid in assessing the likely responsiveness of the patient under assessment to the first treatment regimen.
Claim 17
Dependent Claim
31 words
14 . The method of claim 13 , wherein said step (a) comprises the step of repeating an ERP trial approximately once every one to two seconds, for approximately 2 minutes.
Claim 18
Dependent Claim
78 words
15 . The method of claim 13 , further comprising the step of: (d) characterizing ERP signals obtained from the plurality of trials performed on the patient under assessment, to produce a characterizing ERP signal vector of the patient under assessment; wherein said step (d) is performed after said step (a) and before said step (b), and wherein said step (b) comprises generating a plurality of projections of the characterizing ERP signal vector of the patient under assessment.
Claim 19
Dependent Claim
99 words
16 . The method of claim 15 wherein said step (d) comprises the steps of: (i) for each ERP trial performed on the patient under assessment, concatenating the signal received by electrodes of an ERP trial apparatus in a predetermined order, to form a concatenated signal; (ii) for each ERP trial performed on the patient under assessment, sampling the concatenated signal at a predetermined sampling rate, to form a vector of amplitude values for each ERP trial; and (iii) averaging corresponding amplitude values taken from each vector, to form a characterizing ERP signal vector of the patient under assessment.
Claim 20
Dependent Claim
22 words
17 . The method of claim 16 , wherein said step (ii) comprises sampling each concatenated signal approximately once every ten milliseconds.
Claim 21
Dependent Claim
31 words
18 . The method of claim 15 , wherein said step (b) comprises randomly deleting components of the characterizing ERP signal vector of the patient under assessment to create the projections.
Claim 22
Dependent Claim
35 words
19 . The method of claim 15 , wherein said step (b) comprises deleting components of the characterizing ERP signal vector of the patient under assessment according to a deterministic algorithm to create the projections.
Claim 23
Dependent Claim
44 words
20 . The method of claim 13 , wherein said step (c) comprises the step of: (i) comparing each projection with at least one characterizing ERP signal vector from at least one other patient, respectively, known to be treatable by the first treatment regimen.
Claim 24
Dependent Claim
138 words
21 . The method of claim 20 , wherein said step (i) comprises the steps of: (A) for each projection and each of at least one characterizing ERP signal vector from each of at least one other patient, respectively, known to be treatable by the first treatment regimen, deriving a first weight value that is determined by a degree of correlation between the projection and the characterizing ERP signal vector from the patient known to be treatable by the first treatment regimen; and (B) for each characterizing ERP signal vector from a patient known to be treatable by the first treatment regimen, summing the first weight values for all projections to produce a first sum to aid in deciding on the probable responsiveness of the patient under assessment to the first treatment regimen, based on the first sums.
Claim 25
Dependent Claim
165 words
22 . The method of claim 21 , wherein said step (i) further comprises the steps of: (C) for each projection and each of at least one characterizing ERP signal vector from at least one other patient, respectively, known to be treatable by a second treatment regimen, deriving a second weight value for each projection, wherein the second weight value is determined by a degree of correlation between the projection and the characterizing ERP signal vector from the patient known to be treatable by the second treatment regimen; (D) for each characterizing ERP signal vector from a patient known to be treatable by the second treatment regimen, summing the second weight values for all projections, to produce a second sum; and (E) comparing the first sums and the second sums to aid in deciding on the likely responsiveness of the patient under assessment to the first treatment regimen, relative to the likely responsiveness to the second treatment regimen, based on the first and second sums.
Claim 26
Dependent Claim
175 words
23 . A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the assessment of the likely responsiveness of a patient under assessment to a treatment regimen, the computer readable program code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials, to produce a characterizing ERP signal vector of the patient under assessment; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the patient under assessment; and (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients to aid in determining the probable treatability of the patient having a neurological disorder with respect to the treatment regimen, where the determination is based on comparison results of each projection.
Claim 27
Dependent Claim
175 words
23 . A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the assessment of the likely responsiveness of a patient under assessment to a treatment regimen, the computer readable program code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials, to produce a characterizing ERP signal vector of the patient under assessment; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the patient under assessment; and (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients to aid in determining the probable treatability of the patient having a neurological disorder with respect to the treatment regimen, where the determination is based on comparison results of each projection.
Claim 28
Dependent Claim
107 words
24 . A method of monitoring the response, to a treatment regimen, of a patient being treated for a neurological disorder, the method comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on the patient being treated; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the patient being treated; and (c) comparing the plurality of projections to data collected from at least one other patient, to aid in assessing the current condition of the patient being treated, as indicated by the projections, after beginning the treatment regimen.
Claim 29
Dependent Claim
107 words
24 . A method of monitoring the response, to a treatment regimen, of a patient being treated for a neurological disorder, the method comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on the patient being treated; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the patient being treated; and (c) comparing the plurality of projections to data collected from at least one other patient, to aid in assessing the current condition of the patient being treated, as indicated by the projections, after beginning the treatment regimen.
Claim 30
Dependent Claim
30 words
25 . The method of claim 24 wherein said step (a) comprises the step of repeating an ERP trial approximately once every one to two seconds, for approximately two minutes.
Claim 31
Dependent Claim
78 words
26 . The method of claim 24 , further comprising the step of: (d) characterizing ERP signals obtained from the plurality of trials performed on the patient being treated, to produce a characterizing ERP signal vector of the patient being treated; wherein said step (d) is performed after said step (a) and before said step (b), and wherein said step (b) comprises generating a plurality of projections of the characterizing ERP signal vector of the patient being treated.
Claim 32
Dependent Claim
88 words
27 . The method of claim 26 , wherein said step (d) comprises the steps of: (i) for each ERP trial, concatenating the signals received by electrodes of an ERP trial apparatus in a predetermined order to form a concatenated signal; (ii) for each ERP trial, sampling the concatenating signal at a predetermined sampling rate, to form a vector of amplitude values for each ERP trial; and (iii) averaging corresponding amplitude values taken from each vector, to form a characterizing ERP signal vector of the patient being treated.
Claim 33
Dependent Claim
21 words
28 . The method of claim 27 wherein said step (ii) comprises sampling each concatenated signal approximately once every ten milliseconds.
Claim 34
Dependent Claim
31 words
29 . The method of claim 26 , wherein said step (b) comprises randomly deleting components of the characterizing ERP signal vector of the patient being treated, to create the projections.
Claim 35
Dependent Claim
39 words
30 . The method of claim 26 , wherein said step (b) comprises deleting components of the characterizing ERP signal vector of the patient being treated, wherein deletions are performed according to a deterministic algorithm to create the projections.
Claim 36
Dependent Claim
44 words
31 . The method of claim 24 , wherein said step (c) comprises the step of: (i) comparing each projection with at least one characterizing ERP signal vector from at least one other patient, respectively, wherein each such patient has a known neurological condition.
Claim 37
Dependent Claim
121 words
32 . The method of claim 31 , wherein said step (i) comprises the steps of: (A) for each of at least one characterizing ERP signal vector from at least one patient, respectively, and for each projection, deriving a progress weight value, wherein the progress weight value is determined by a degree of correlation between the projection and the characterizing ERP signal vector from a patient having a known neurological condition; and (B) for each of at least one characterizing ERP signal vector from at least one patient, respectively, summing the progress weight values for all projections, to produce a progress sum to aid in deciding on the probable current condition of the patient being treated, based on the progress sums.
Claim 38
Dependent Claim
46 words
33 . The method of claim 31 , wherein step (i) comprises the step of comparing each projection with at least one characterizing ERP signal vector from at least one other patient, respectively, wherein at least one such patient comprises a patient who is neurologically healthy.
Claim 39
Dependent Claim
54 words
34 . The method of claim 31 , wherein step (i) comprises the step of comparing each projection with at least one characterizing ERP signal vector from at least one other patient, respectively, wherein at least one such patient comprises a patient who is afflicted with the neurological disorder of the patient being treated.
Claim 40
Dependent Claim
177 words
35 . A computer program product comprising a computer usable medium having computer readable code means embodied in the medium for causing an application program to execute on a computer that facilitates the assessment of a current condition of a patient being treated for a neurological disorder after beginning a treatment regimen, the computer readable code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials performed on the patient being treated, to produce a characterizing ERP signal vector of the patient being treated; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the patient being treated; and (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients to aid in determining the probable current condition of the patient being treated, where the determination is based on comparison results of each projection.
Claim 41
Dependent Claim
177 words
35 . A computer program product comprising a computer usable medium having computer readable code means embodied in the medium for causing an application program to execute on a computer that facilitates the assessment of a current condition of a patient being treated for a neurological disorder after beginning a treatment regimen, the computer readable code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials performed on the patient being treated, to produce a characterizing ERP signal vector of the patient being treated; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the patient being treated; and (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients to aid in determining the probable current condition of the patient being treated, where the determination is based on comparison results of each projection.
Claim 42
Dependent Claim
116 words
36 . A method of assessing a patient with respect to the nature and extent of side effects experienced in response to a treatment regimen, wherein the patient is being treated for a neurological disorder, the method comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on the patient under assessment; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the patient under assessment; and (c) comparing the plurality of projections to data collected from at least one other patient, to aid in assessing the nature and extent of the side affects as indicated by the projections.
Claim 43
Dependent Claim
116 words
36 . A method of assessing a patient with respect to the nature and extent of side effects experienced in response to a treatment regimen, wherein the patient is being treated for a neurological disorder, the method comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on the patient under assessment; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the patient under assessment; and (c) comparing the plurality of projections to data collected from at least one other patient, to aid in assessing the nature and extent of the side affects as indicated by the projections.
Claim 44
Dependent Claim
30 words
37 . The method of claim 36 wherein said step (a) comprises the step of repeating an ERP trial approximately once every one to two seconds, for approximately two minutes.
Claim 45
Dependent Claim
78 words
38 . The method of claim 36 , further comprising the step of: (d) characterizing ERP signals obtained from the plurality of trials performed on the patient under assessment, to produce a characterizing ERP signal vector of the patient under assessment; wherein said step (d) is performed after said step (a) and before said step (b), and wherein said step (b) comprises generating a plurality of projections of the characterizing ERP signal vector of the patient under assessment.
Claim 46
Dependent Claim
88 words
39 . The method of claim 38 , wherein said step (d) comprises the steps of: (i) for each ERP trial, concatenating the signals received by electrodes of an ERP trial apparatus in a predetermined order to form a concatenated signal; (ii) for each ERP trial, sampling the concatenated signal at a predetermined sampling rate, to form a vector of amplitude values for each ERP trial; and (iii) averaging corresponding amplitude values taken from each vector, to form a characterizing ERP signal vector of the patient under assessment.
Claim 47
Dependent Claim
22 words
40 . The method of claim 39 , wherein said step (ii) comprises sampling each concatenated signal approximately once every ten milliseconds.
Claim 48
Dependent Claim
31 words
41 . The method of claim 38 , wherein said step (b) comprises randomly deleting components of the characterizing ERP signal vector of the patient under assessment to create the projections.
Claim 49
Dependent Claim
35 words
42 . The method of claim 38 , wherein said step (b) comprises deleting components of the characterizing ERP signal vector of the patient under assessment according to a deterministic algorithm to create the projections.
Claim 50
Dependent Claim
49 words
43 . The method of claim 36 , wherein step (c) comprises the step of: (i) comparing each projection with at least one characterizing ERP signal vector from at least one other patient, respectively, wherein the at least one other patient has at least one known neurological condition, respectively.
Claim 51
Dependent Claim
120 words
44 . The method of claim 43 , wherein step (i) comprises the steps of: (A) for each characterizing ERP signal vector from a patient having a known neurological condition and for each projection, deriving a side effect weight value, wherein each side effect weight value is determined by a degree of correlation between the projection and the characterizing ERP signal vector of the patient having a known neurological condition; (B) for each characterizing ERP signal vector from a patient having a known neurological condition, summing the side affect weight values for all projections to produce a side effect sum to aid in deciding on the probable nature and extent of the side effects, based on the side effect sums.
Claim 52
Dependent Claim
178 words
45 . A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the assessment of the nature and extent of side affects resulting from a treatment regimen, the computer readable program code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials performed on a patient under assessment, to produce a characterizing ERP signal vector of the patient under assessment; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the patient under assessment; and (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients to aid in determining the probable nature and extent of side affects resulting from the treatment regimen, wherein the determination is based on comparison results of each projection.
Claim 53
Dependent Claim
178 words
45 . A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the assessment of the nature and extent of side affects resulting from a treatment regimen, the computer readable program code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials performed on a patient under assessment, to produce a characterizing ERP signal vector of the patient under assessment; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the patient under assessment; and (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients to aid in determining the probable nature and extent of side affects resulting from the treatment regimen, wherein the determination is based on comparison results of each projection.
Claim 54
Dependent Claim
103 words
46 . A method of assessing the results of a treatment regimen for a neurological disorder, comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on a test patient afflicted with the neurological disorder and treated with the test regimen; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the test patient; and (c) comparing the plurality of projections to data collected from at least one other patient, to aid in determining the neurological condition of the test patient as indicated by the projections.
Claim 55
Dependent Claim
103 words
46 . A method of assessing the results of a treatment regimen for a neurological disorder, comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on a test patient afflicted with the neurological disorder and treated with the test regimen; (b) generating a plurality of projections of ERP data, wherein the ERP data is derived from the plurality of ERP trials performed on the test patient; and (c) comparing the plurality of projections to data collected from at least one other patient, to aid in determining the neurological condition of the test patient as indicated by the projections.
Claim 56
Dependent Claim
30 words
47 . The method of claim 46 wherein said step (a) comprises the step of repeating an ERP trial approximately once every one to two seconds, for approximately two minutes.
Claim 57
Dependent Claim
75 words
48 . The method of claim 46 , further comprising the step of: (d) characterizing ERP signals obtained from the plurality of trials performed on the test patient, to produce a characterizing ERP signal vector of the test patient; wherein said step (d) is performed after said step (a) and before said step (b), and wherein said step (b) comprises generating a plurality of projections of the characterizing ERP signal vector of the test patient.
Claim 58
Dependent Claim
87 words
49 . The method of claim 48 , wherein said step (d) comprises the steps of: (i) for each ERP trial, concatenating the signals received by electrodes of an ERP trial apparatus in a predetermined order to form a concatenated signal; (ii) for each ERP trial, sampling the concatenated signal at a predetermined sampling rate, to form a vector of amplitude values for each ERP trial; and (iii) averaging corresponding amplitude values taken from each vector, to form a characterizing ERP signal vector of the test patient.
Claim 59
Dependent Claim
22 words
50 . The method of claim 49 , wherein said step (ii) comprises sampling each concatenated signal approximately once every ten milliseconds.
Claim 60
Dependent Claim
30 words
51 . The method of claim 48 , wherein said step (b) comprises randomly deleting components of the characterizing ERP signal vector of the test patient to create the projections.
Claim 61
Dependent Claim
34 words
52 . The method of claim 48 , wherein said step (b) comprises deleting components of the characterizing ERP signal vector of the test patient according to a deterministic algorithm to create the projections.
Claim 62
Dependent Claim
49 words
53 . The method of claim 46 , wherein step (c) comprises the step of: (i) comparing each projection with at least one characterizing ERP signal vector from at least one other patient, respectively, wherein the at least one other patient has at least one known neurological condition, respectively.
Claim 63
Dependent Claim
112 words
54 . The method of claim 53 , wherein step (i) comprises the steps of: (A) for each characterizing ERP signal vector from a patient having a known neurological condition, and for each projection, deriving a comparison weight value, wherein each comparison weight value is determined by a degree of correlation between the projection and the characterizing ERP signal vector of the patient having a known neurological condition; and (B) for each characterizing ERP signal vector from a patient having a known neurological condition, summing the comparison weight values for all projections to produce a comparison sum to aid in characterizing the effects of the treatment regimen, based on the comparison sums.
Claim 64
Dependent Claim
173 words
55 . A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the assessment of the results of a treatment regimen for a neurological disorder, the computer readable program code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials performed on a test patient to produce a characterizing ERP signal vector of the test patient; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the test patient; and (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients to aid in determining the probable neurological condition of the test patient resulting from the treatment regimen, wherein the determination is based on comparison results of each projection.
Claim 65
Dependent Claim
173 words
55 . A computer program product comprising a computer usable medium having computer readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the assessment of the results of a treatment regimen for a neurological disorder, the computer readable program code means comprising: (a) first computer readable program code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials performed on a test patient to produce a characterizing ERP signal vector of the test patient; (b) second computer readable program code means for causing the computer to generate a plurality of projections of the characterizing ERP signal vector of the test patient; and (c) third computer readable program code means for causing the computer to compare each projection with characterizing ERP signal vectors from other patients to aid in determining the probable neurological condition of the test patient resulting from the treatment regimen, wherein the determination is based on comparison results of each projection.
Claim 66
Dependent Claim
93 words
56 . A method of determining an enrollment of subjects in a study of a neurological treatment, comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on a candidate; (b) plotting the candidate in an information space on the basis of data collected during the ERP trials; (c) identifying the candidate as an outlying candidate if the plot of the candidate is sufficiently distant from a plot representing at least one other candidate; and (d) identifying the outlying candidate as a candidate to be excluded from the study.
Claim 67
Dependent Claim
93 words
56 . A method of determining an enrollment of subjects in a study of a neurological treatment, comprising the steps of: (a) performing a plurality of evoked response potential (ERP) trials on a candidate; (b) plotting the candidate in an information space on the basis of data collected during the ERP trials; (c) identifying the candidate as an outlying candidate if the plot of the candidate is sufficiently distant from a plot representing at least one other candidate; and (d) identifying the outlying candidate as a candidate to be excluded from the study.
Claim 68
Dependent Claim
31 words
57 . The method of claim 56 , wherein said step (a) comprises the step of repeating an ERP trail approximately once every one to two seconds, for approximately two minutes.
Claim 69
Dependent Claim
65 words
58 . The method of claim 56 , further comprising the step of: (e) characterizing ERP signals obtained from the plurality of ERP trails, to produce a characterizing ERP signal vector, wherein said step_(e) is performed after said step_(a) and before said step_(b), and wherein said step (b) comprises plotting the candidate in the information space on the basis of the characterizing ERP signal vector.
Claim 70
Dependent Claim
86 words
59 . The method of claim 58 , wherein said step (e) comprises the steps of: (i) for each ERP trial, concatenating the signals received by electrodes of an ERP trial apparatus in a predetermined order to form a concatenated signal; (ii) for each ERP trial, sampling the concatenated signal at a predetermined sampling rate, to form a vector of amplitude values for each ERP trial; and (iii) averaging corresponding amplitude values taken from each vector, to form a characterizing ERP signal vector of the candidate.
Claim 71
Dependent Claim
22 words
60 . The method of claim 59 , wherein said step (ii) comprises sampling each concatenated signal approximately once every ten milliseconds.
Claim 72
Dependent Claim
29 words
61 . The method of claim 56 , wherein the plot representing the at least one other candidate is a median point for the at least one other candidate.
Claim 73
Dependent Claim
29 words
62 . The method of claim 57 , wherein the plot representing the at least one other candidate is a mean point for the at least one other candidate.
Claim 74
Dependent Claim
149 words
63 . A computer program product comprising a computer-usable medium having computer-readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the determination of enrollment of subjects in a study of a neurological treatment, the computer-readable program code means comprising: (a) first computer-readable code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials performed on a candidate to produce a characterizing ERP signal vector of the candidate; (b) second computer-readable code means for causing the computer to plot the candidate in an information space on the basis of the characterizing ERP signal vector; (c) third computer-readable program code means for causing the computer to identify the candidate as an outlying candidate if the plot of the candidate is sufficiently distant from a plot representing at least one other candidate.
Claim 75
Dependent Claim
149 words
63 . A computer program product comprising a computer-usable medium having computer-readable program code means embodied in the medium for causing an application program to execute on a computer that facilitates the determination of enrollment of subjects in a study of a neurological treatment, the computer-readable program code means comprising: (a) first computer-readable code means for causing the computer to characterize evoked response potential (ERP) signals obtained from a plurality of ERP trials performed on a candidate to produce a characterizing ERP signal vector of the candidate; (b) second computer-readable code means for causing the computer to plot the candidate in an information space on the basis of the characterizing ERP signal vector; (c) third computer-readable program code means for causing the computer to identify the candidate as an outlying candidate if the plot of the candidate is sufficiently distant from a plot representing at least one other candidate.
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