Neuromodulation system incorporating multivariate sensing, multivariable pattern recognition, and patient specific adaptation
First Claim
1. A medical system configured for performing a medical function in a patient, comprising:
- at least one medical lead configured for being implanted adjacent a tissue region of the patient;
at least one sensing element;
monitoring circuitry configured for acquiring a plurality of physiological measurements from the at least one sensing element during one of a plurality of events respectively corresponding to a plurality of classes;
a processor configured for deriving a set of data from the plurality of physiological measurements, performing a feature extraction technique on the data set to acquire at least one feature, analyzing the at least one feature, and classifying the data set into the one class corresponding to the one event; and
a controller configured for performing a function based on the classified data set.
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Abstract
A medical system configured for performing a medical function in a patient. The medical system comprises at least one medical lead configured for being implanted adjacent a tissue region of the patient, at least one sensing element, monitoring circuitry configured for acquiring a plurality of physiological measurements from the sensing element(s) during one of a plurality of events respectively corresponding to a plurality of classes, and a processor configured for deriving a set of data from the plurality of physiological measurements, performing a feature extraction technique on the data set to acquire at least one feature, analyzing the feature(s), and classifying the data set into the one class corresponding to the one event. The medical system further comprises a controller configured for performing a function based on the classified data set.
31 Citations
20 Claims
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1. A medical system configured for performing a medical function in a patient, comprising:
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at least one medical lead configured for being implanted adjacent a tissue region of the patient; at least one sensing element; monitoring circuitry configured for acquiring a plurality of physiological measurements from the at least one sensing element during one of a plurality of events respectively corresponding to a plurality of classes; a processor configured for deriving a set of data from the plurality of physiological measurements, performing a feature extraction technique on the data set to acquire at least one feature, analyzing the at least one feature, and classifying the data set into the one class corresponding to the one event; and a controller configured for performing a function based on the classified data set. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A medical system configured for performing a medical function in a patient, comprising:
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at least one medical lead configured for being implanted adjacent a tissue region of the patient; at least one sensing element; monitoring circuitry configured for acquiring a plurality of physiological measurements from the at least one sensing element during one of a plurality of events respectively corresponding to a plurality of classes; a processor configured for deriving a set of data from the plurality of physiological measurements, performing a feature extraction technique on the data set to acquire at least one feature, analyzing the at least one feature, and classifying the data set into the one class corresponding to the one event; and a controller configured for performing a function based on the classified data set, wherein each of the at least one feature has a coefficient, the medical system further comprises memory storing at least one (n−
1)-dimensional classification hyperplane that divides an n-dimensional space into a plurality of sub-spaces respectively corresponding to the plurality of different classes, wherein n equals the number of the at least one feature, and wherein the processor is configured for classifying the data set into the one class by recalling the classification hyperplane from the memory, plotting the recalled classification hyperplane and a data point defined by the at least one coefficient in the n-dimensional space, and identifying the sub-space in which the data point is located.
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13. A medical system configured for performing a medical function in a patient, comprising:
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at least one medical lead configured for being implanted adjacent a tissue region of the patient; at least one sensing element; monitoring circuitry configured for acquiring a plurality of physiological measurements from the at least one sensing element during one of a plurality of events respectively corresponding to a plurality of classes; a processor configured for deriving a set of data from the plurality of physiological measurements, performing a feature extraction technique on the data set to acquire at least one feature, analyzing the at least one feature, and classifying the data set into the one class corresponding to the one event; and a controller configured for performing a function based on the classified data set, wherein, for each of the plurality of events, the monitoring circuitry is configured for acquiring at least one plurality of reference physiological measurements from the at least one sensing element, and the processor is configured for deriving at least one set of reference data respectively from the at least one plurality of reference physiological measurements, performing a feature extraction process on each of the at least one set of reference data to acquire a set of reference features for the respective each reference data set, and defining the plurality of classes from the sets of reference features acquired over the plurality of events. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20)
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Specification