Glucose sensor signal purity analysis
First Claim
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1. A method comprising:
- obtaining a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient;
determining, via a controller and based at least partly on the series of samples, at least one metric to characterize one or more non-physiological anomalies of a representation of the blood glucose level of the patient by the at least one sensor signal, wherein said determining at least one metric comprises;
ascertaining a residual portion of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal; and
determining at least one value associated with the residual portion of the at least one sensor signal;
ascertaining one or more principal components of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal,wherein;
said ascertaining a residual portion further comprises ascertaining the residual portion of the at least one sensor signal based at least in part on the ascertained one or more principal components; and
said determining at least one value associated with the residual portion further comprises estimating a characteristic of random noise expressed in a subspace associated with the residual portion of the at least one sensor signal, the characteristic comprising one or more values descriptive of how data are distributed with respect to an average of the data; and
assessing a reliability of the at least one sensor signal to represent the blood glucose level of the patient based at least partly on the at least one metric.
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Abstract
Disclosed are methods, apparatuses, etc. for glucose sensor signal purity analysis. In certain example embodiments, a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient may be obtained. Based at least partly on the series of samples, at least one metric may be determined to characterize one or more non-physiological anomalies of a representation of the blood glucose level of the patient by the at least one sensor signal. A reliability of the at least one sensor signal to represent the blood glucose level of the patient may be assessed based at least partly on the at least one metric. Other example embodiments are disclosed herein.
85 Citations
20 Claims
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1. A method comprising:
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obtaining a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient; determining, via a controller and based at least partly on the series of samples, at least one metric to characterize one or more non-physiological anomalies of a representation of the blood glucose level of the patient by the at least one sensor signal, wherein said determining at least one metric comprises; ascertaining a residual portion of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal; and determining at least one value associated with the residual portion of the at least one sensor signal; ascertaining one or more principal components of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal, wherein; said ascertaining a residual portion further comprises ascertaining the residual portion of the at least one sensor signal based at least in part on the ascertained one or more principal components; and said determining at least one value associated with the residual portion further comprises estimating a characteristic of random noise expressed in a subspace associated with the residual portion of the at least one sensor signal, the characteristic comprising one or more values descriptive of how data are distributed with respect to an average of the data; and assessing a reliability of the at least one sensor signal to represent the blood glucose level of the patient based at least partly on the at least one metric. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An apparatus comprising:
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a controller to obtain a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient, wherein said controller is capable of determining at least one metric by; ascertaining a residual portion of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal; and determining at least one value associated with the residual portion of the at least one sensor signal; said controller comprising one or more processors to; determine, based at least partly on the series of samples, the at least one metric to characterize one or more non-physiological anomalies of a representation of the blood glucose level of the patient by the at least one sensor signal ascertain one or more principal components of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal, wherein; said controller is capable of ascertaining a residual portion by ascertaining the residual portion of the at least one sensor signal based at least in part on the ascertained one or more principal components; and said controller is capable of determining at least one value associated with the residual portion by estimating a characteristic of random noise expressed in a subspace associated with the residual portion of the at least one sensor signal, the characteristic comprising one or more values descriptive of how data are distributed with respect to an average of the data; and assess a reliability of the at least one sensor signal to represent the blood glucose level of the patient based at least partly on the at least one metric. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A system comprising:
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means for obtaining a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient; means for determining, based at least partly on the series of samples, at least one metric to characterize one or more non-physiological anomalies of a representation of the blood glucose level of the patient by the at least one sensor signal, said means for determining at least one metric comprising; means for ascertaining a residual portion of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal; and means for determining at least one value associated with the residual portion of the at least one sensor signal; means for ascertaining one or more principal components of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal, wherein; said means for ascertaining a residual portion further comprises ascertaining the residual portion of the at least one sensor signal based at least in art on the ascertained one or more principal components; and said means for determining at least one value associated with the residual portion further comprises estimating a characteristic of random noise expressed in a subspace associated with the residual portion of the at least one sensor signal the characteristic comprising one or more values descriptive of how data are distributed with respect to an average of the data; and means for assessing a reliability of the at least one sensor signal to represent the blood glucose level of the patient based at least partly on the at least one metric.
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20. An article comprising:
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at least one storage medium having stored thereon instructions executable by one or more processors to; obtain a series of samples of at least one sensor signal that is responsive to a blood glucose level of a patient; determine, based at least partly on the series of samples, at least one metric to characterize one or more non-physiological anomalies of a representation of the blood glucose level of the patient by the at least one sensor signal, wherein said determination of at least one metric comprises; ascertain a residual portion of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal; and determine at least one value associated with the residual portion of the at least one sensor signal; ascertain one or more principal components of the at least one sensor signal based at least in part on the series of samples of the at least one sensor signal, wherein; said ascertainment a residual portion further comprises ascertaining the residual portion of the at least one sensor signal based at least in part on the ascertained one or more principal components; and said determination at least one value associated with the residual portion further comprises estimating a characteristic of random noise expressed in a subspace associated with the residual portion of the at least one sensor signal, the characteristic comprising one or more values descriptive of how data are distributed with respect to an average of the data; and assess a reliability of the at least one sensor signal to represent the blood glucose level of the patient based at least partly on the at least one metric.
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Specification