Implantable medical device with adaptive signal processing and artifact cancellation
First Claim
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1. A medical device, comprising:
- a sensor module for sensing a plurality of physiological signalsa signal grouping module receiving the plurality of physiological signals and grouping the plurality of physiological signals into a plurality of multi-dimensional signals;
a plurality of processing modules each receiving one of the plurality of multi-dimensional signals, each of the plurality of processing modules configured to extract a first feature set from the plurality of multi-dimensional signals, perform principal component analysis of the plurality of multi-dimensional signals to compute principal components of variation for each of the plurality of multi-dimensional signals, and extract a second feature set from the principal components; and
a controller receiving the first feature set and the second feature set from at least one of the plurality of processing modules, the controller responsive to the first feature set and the second feature set to detect a physiological event, wherein the controller detects the event using a weighted combination of the first set and the second set of extracted features.
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Abstract
A medical device includes multiple sensors used to acquire sensor signals grouped into multiple sets to obtain multiple multi-dimensional signals. Principal component analysis of the multi-dimensional signals is performed to compute principal components of variation of the multi-dimensional signals. Features extracted from the principal components are used in detecting physiological events.
78 Citations
17 Claims
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1. A medical device, comprising:
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a sensor module for sensing a plurality of physiological signals a signal grouping module receiving the plurality of physiological signals and grouping the plurality of physiological signals into a plurality of multi-dimensional signals; a plurality of processing modules each receiving one of the plurality of multi-dimensional signals, each of the plurality of processing modules configured to extract a first feature set from the plurality of multi-dimensional signals, perform principal component analysis of the plurality of multi-dimensional signals to compute principal components of variation for each of the plurality of multi-dimensional signals, and extract a second feature set from the principal components; and a controller receiving the first feature set and the second feature set from at least one of the plurality of processing modules, the controller responsive to the first feature set and the second feature set to detect a physiological event, wherein the controller detects the event using a weighted combination of the first set and the second set of extracted features. - View Dependent Claims (2, 3, 4, 5)
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6. A medical device, comprising:
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a sensor module for sensing a plurality of physiological signals a signal grouping module receiving the plurality of physiological signals and grouping the plurality of physiological signals into a plurality of multi-dimensional signals; a plurality of processing modules each receiving one of the plurality of multi-dimensional signals, each of the plurality of processing modules configured to extract a first feature set from the plurality of multi-dimensional signals, perform principal component analysis of the plurality of multi-dimensional signals to compute principal components of variation for each of the plurality of multi-dimensional signals, and extract a second feature set from the principal components; and a controller receiving the first feature set and the second feature set from at least one of the plurality of processing modules, the controller responsive to the first feature set and the second feature set to detect a physiological event, wherein the signal grouping module is configured to group the plurality of physiological signals in response to one of the first feature set and the second feature set.
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7. A medical device, comprising:
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a sensor module for sensing a plurality of physiological signals a signal grouping module receiving the plurality of physiological signals and grouping the plurality of physiological signals into a plurality of multi-dimensional signals; a plurality of processing modules each receiving one of the plurality of multi-dimensional signals, each of the plurality of processing modules configured to extract a first feature set from the plurality of multi-dimensional signals, perform principal component analysis of the plurality of multi-dimensional signals to compute principal components of variation for each of the plurality of multi-dimensional signals, and extract a second feature set from the principal components; and a controller receiving the first feature set and the second feature set from at least one of the plurality of processing modules, the controller responsive to the first feature set and the second feature set to detect a physiological event, wherein the sensor module comprises a plurality of physiological sensors and is configured to selectively enable a physiological sensor in response to the extracted first feature set and the second feature set. - View Dependent Claims (8)
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9. A method, comprising:
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sensing a plurality of physiological signals grouping the plurality of physiological signals into a plurality of multi-dimensional signals; extracting a first feature set from the plurality of multi-dimensional signals; performing principal component analysis of each of the plurality of multi-dimensional signals to compute principal components of variation for each of the plurality of multi-dimensional signals; extracting a second feature set from the computed principal components; and detecting a physiological event in response to the first feature set and the second feature set, wherein detecting the event comprises using a weighted combination of the first set and the second set of extracted features. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A method, comprising:
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sensing a plurality of physiological signals grouping the plurality of physiological signals into a plurality of multi-dimensional signals; extracting a first feature set from the plurality of multi-dimensional signals; performing principal component analysis of each of the plurality of multi-dimensional signals to compute principal components of variation for each of the plurality of multi-dimensional signals; extracting a second feature set from the computed principal components; and detecting a physiological event in response to the first feature set and the second feature set, further comprising grouping the plurality of physiological signals in response to one of the first feature set and the second feature set.
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17. A non-transitory computer readable medium storing a set of instructions which when implemented in a medical device system cause the system to:
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sense a plurality of physiological signals; group the plurality of physiological signals into a plurality of multi-dimensional signals; extract a first feature set from the plurality of physiological signals; perform principal component analysis of each of the plurality of multi-dimensional signals to compute principal components of variation for each of the plurality of multi-dimensional signals; extract a second feature set from the computed principal components; and detect a physiological event in response to the first feature set and the second feature set, wherein the detecting the event comprises using a weighted combination of the first set and the second set of extracted features.
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Specification