Detection of heart failure decompensation based on cumulative changes in sensor signals
First Claim
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1. A method, comprising:
- acquiring sensor data associated with one or more symptoms of heart failure;
developing a cumulative sum using the sensor data; and
evaluating the one or more heart failure symptoms based on the cumulative sum.
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Abstract
Systems, devices and methods provide for evaluation of heart failure symptoms. Sensor data associated with one or more symptoms of heart failure are acquired and trended. Statistical features, such as slope, are extracted from the data trend in a moving window and are used to develop a cumulative sum. The cumulative sum is compared to a threshold value or V-mask to detect a shift in cumulative sum indicating changes in heart failure symptoms. A shift beyond the threshold value may trigger an alert or implementation of therapy.
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Citations
27 Claims
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1. A method, comprising:
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acquiring sensor data associated with one or more symptoms of heart failure;
developing a cumulative sum using the sensor data; and
evaluating the one or more heart failure symptoms based on the cumulative sum. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A medical device, comprising:
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sensing circuitry configured to acquire sensor data associated with one or more symptoms of heart failure; and
a diagnostics processor configured to develop a cumulative sum using the sensor data and to evaluate the one or more heart failure symptoms based on the cumulative sum. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22)
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23. A medical system, comprising:
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means for acquiring sensor data associated with one or more symptoms of heart failure;
means for developing a cumulative sum using the sensor data; and
means for evaluating the one or more heart failure symptoms based on the cumulative sum. - View Dependent Claims (24, 25, 26, 27)
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Specification