System and method for smoothing sampled digital signals
First Claim
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1. An implantable medical device comprising:
- a sensor configured to sense a signal and to provide a digitally sampled signal; and
a smoothing filter configured to process the sampled signal and classify a given data point of the sampled signal into a first type or a second type and to;
apply a smoothing function to the given data point responsive to the given data point being classified as the first type, andto retain a sampled value for the given data point responsive to the given data point being classified as the second type,wherein the smoothing filter is configured to determine variability between the given data point and at least one sampled data point that is adjacent to the given data point, andclassify the given data point into the first type if the variability is less than a predetermined variability value and into the second type if the variability is equal to or greater than the predetermined variability value.
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Abstract
Waveforms are digitally sampled and compressed for storage in memory. The compression of the data includes generating a truncated entropy encoding map and using the values within the map to obtain good compression. An encoder further sub-selects values to be encoded and values to remain unencoded to provide an overall compression of the data.
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Citations
3 Claims
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1. An implantable medical device comprising:
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a sensor configured to sense a signal and to provide a digitally sampled signal; and a smoothing filter configured to process the sampled signal and classify a given data point of the sampled signal into a first type or a second type and to; apply a smoothing function to the given data point responsive to the given data point being classified as the first type, and to retain a sampled value for the given data point responsive to the given data point being classified as the second type, wherein the smoothing filter is configured to determine variability between the given data point and at least one sampled data point that is adjacent to the given data point, and classify the given data point into the first type if the variability is less than a predetermined variability value and into the second type if the variability is equal to or greater than the predetermined variability value. - View Dependent Claims (2, 3)
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Specification