Implantable medical device with adaptive signal processing and artifact cancellation
First Claim
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1. A medical device, comprising:
- a sensor for sensing an n-dimensional signal during a first time interval of a first known variable condition that influences the n-dimensional signal and during a second time interval of a second known variable condition that influences the n-dimensional signal different from the first known variable condition;
a processor configured to perform principal component analysis (PCA) on the sensed n-dimensional signal to generate a first template of a principal component of variation for the first known variable condition and a second template of a principal component of variation for the second known variable condition;
a storage device storing the first template and the second template; and
a controller configured to receive the n-dimensional signal during an unknown condition and detect a patient condition using the n-dimensional signal that is sensed during the unknown condition and at least one of the stored templates.
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Abstract
A medical device having a sensor sensing an n-dimensional signal during a first known variable condition and during a second known variable condition different from the first known variable condition, a processor performing principal component analysis (PCA) on the sensed n-dimensional signal to generate a first template corresponding to a principal component of variation associated with the first known variable condition and a second template corresponding to a principal component of variation associated with the second known variable condition, a storage device storing the first template and the second template, and a controller detecting a patient condition in response to the stored templates.
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Citations
24 Claims
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1. A medical device, comprising:
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a sensor for sensing an n-dimensional signal during a first time interval of a first known variable condition that influences the n-dimensional signal and during a second time interval of a second known variable condition that influences the n-dimensional signal different from the first known variable condition; a processor configured to perform principal component analysis (PCA) on the sensed n-dimensional signal to generate a first template of a principal component of variation for the first known variable condition and a second template of a principal component of variation for the second known variable condition; a storage device storing the first template and the second template; and a controller configured to receive the n-dimensional signal during an unknown condition and detect a patient condition using the n-dimensional signal that is sensed during the unknown condition and at least one of the stored templates. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 23)
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12. A method of generating a template in a medical device, comprising:
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sensing an n-dimensional signal during a first time interval of a first known variable condition that influences the n-dimensional signal; sensing the n-dimensional signal during a second time interval of a second known variable condition that influences the n-dimensional signal different from the first known variable condition; performing principal component analysis (PCA) on the sensed n-dimensional signal sensed for the first known variable condition to generate a first template of a principal component of variation for the first known variable condition; performing principal component analysis (PCA) on the sensed n-dimensional signal sensed for the second known variable condition to generate a second template of a principal component of variation for the second known variable condition; storing the first template and the second template; sensing the n-dimensional signal during an unknown condition; and detecting a patient condition using the n-dimensional signal sensed during the unknown condition and at least one of the stored templates. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24)
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Specification