Reduction of errors in non-invasive tissue sampling
First Claim
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1. A method of acquiring a plurality of scans from a subject for use in a determination of a biological attribute, comprising:
- a. Acquiring a spectrum, comprising a subset of the plurality of scans, from the subject;
b. Determining whether the spectrum is suitable for use in the determination, and, if so, indicating that the spectrum is suitable for use in the determination; and
c. Repeating steps a and b until the plurality of scans has been acquired.
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Abstract
The present invention provides methods and devices for using feedback to improve non-invasive tissue measurements by making measurements faster, easier to perform, and less error prone. In some embodiments, a set of metrics is identified as measurable potential sources of measurement error that can be controlled by a user. In some embodiments, the set of metrics can be analyzed to determine which metrics are related to one another, and some possible error metrics can be discarded, and others used as surrogate metrics for measuring and monitoring measurement errors.
318 Citations
73 Claims
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1. A method of acquiring a plurality of scans from a subject for use in a determination of a biological attribute, comprising:
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a. Acquiring a spectrum, comprising a subset of the plurality of scans, from the subject;
b. Determining whether the spectrum is suitable for use in the determination, and, if so, indicating that the spectrum is suitable for use in the determination; and
c. Repeating steps a and b until the plurality of scans has been acquired. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method of acquiring a spectrum from a subject for use in determination of a biological attribute, comprising:
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a. Acquiring a spectrum from the subject;
b. Determining whether a subject-affected characteristic of the spectrum acquisition is likely to affect the accuracy of the determination, and, if so, communicating information to the subject that allows the subject to affect the characteristic. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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35. A method of determining a biological attribute of tissue of a subject, comprising:
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a. Acquiring a spectrum of the tissue;
b. Determining a plurality of metrics from the spectrum;
c. Determining whether any of the determined metrics indicate a likelihood of error in an attribute determination using the spectrum, and, if so, identifying the spectrum as not-to-be-used, if not, identifying the spectrum as to-be-used;
d. Determining whether any of the determined metrics indicate that a subject action is likely to affect the value of a metric and, if so, communicating information to the subject that allows the subject to perform such action;
e. Repeating steps a, b, c, and d until a terminal condition is reached;
f. Determining the biological attribute using a multivariate model applied to the spectra identified as to-be-used. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59)
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60. A method of determining user-interactive metrics relating to spectra used in determining biological attributes in a system interacting with a user, comprising:
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a. Determining a plurality of initial metrics determinable from information in a spectrum;
b. Selecting a plurality of preferred metrics as those initial metrics whose values are related to improved performance of the determination method;
c. Associating a user interaction with at least some of the preferred metrics, where the user interaction comprises information related to actions of a user that are related to the associated metric. - View Dependent Claims (61, 62)
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63. An apparatus for determining a biological attribute of tissue, comprising:
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a. A spectrum acquisition system;
b. A metric determination system, responsive to spectra acquired by the spectrum acquisition system;
c. A user interaction system, responsive to the metric determination system;
d. An attribute determination system, comprising a multivariate model and responsive to the spectrum acquisition system. - View Dependent Claims (64, 65, 66, 67, 68, 69, 70, 71, 72, 73)
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Specification