Heart failure event detection using minimum heart rate
AssigneeCardiac Pacemakers, Inc.
InventorsYi Zhang, Viktoria A. Averina, Pramodsingh Hirasingh Thakur
Life of this patent
Estimating the term…
Abstract
Systems, devices, or methods can be used to detect an event, or series of events, that can indicate worsening of congestive heart failure (CHF), or can be used to identify a subject at an elevated risk for developing CHF. A CHF event predictor can be provided using a characteristic minimum of subject cardiac intervals. In an example, the subject cardiac intervals can be obtained during a night-time period or during periods of reduced subject physical activity. A CHF event predictor can be determined using information about physiologic signals received from a subject, such as from a physiologic sensor associated with an ambulatory or implantable medical device.
Claims20
A congestive heart failure (CHF) event predictor method comprising:
- obtaining information indicative of cardiac intervals over a first duration;
- identifying a first characteristic minimum heart rate using the information indicative of the cardiac intervals over the first duration;
- and
- determining a CHF event predictor using the identified first characteristic minimum heart rate.
A system comprising:
- a processor circuit;
- and
- a physiologic interval sensing circuit configured to receive information indicative of cardiac intervals over a first duration;
- wherein the processor circuit is configured to:
- identify a first characteristic minimum of a subject heart rate using the received information indicative of the cardiac intervals over the first duration;
- and
- determine a congestive heart failure (CHF) event predictor using the identified first characteristic minimum of the subject heart rate.
A congestive heart failure (CHF) event predictor method comprising:
- obtaining information indicative of cardiac intervals over a first duration, including obtaining information indicative of subject systolic intervals over the first duration;
- identifying a first characteristic subject systolic interval duration trend using the information indicative of the subject systolic intervals over the first duration;
- and
- determining a CHF event predictor using the identified characteristic subject systolic interval duration trend.
Dependencies are inferred from the claim text.