HEART FAILURE EVENT DETECTION AND RISK STRATIFICATION USING HEART RATE TREND
First Claim
1. A system, comprising:
- a context detector circuit configured to detect contextual condition associated with a patient, the contextual condition including information indicative or correlative of a change in metabolic demand of a patient;
a heart rate (HR) analyzer circuit configured to sense from the patient a cardiac activity signal, extract a HR feature from the sensed cardiac activity signal, and perform a plurality of measurements of the HR feature in response to the detected patient contextual condition meeting a specified criterion;
a target event indicator generator circuit configured to calculate one or more signal metrics using the plurality of measurements of the HR feature; and
a physiologic event detector circuit coupled to the target event indicator generator circuit, the physiologic event detector circuit configured to detect a target physiologic event using the one or more signal metrics.
1 Assignment
0 Petitions
Accused Products
Abstract
Systems and methods for detecting heart failure (HF) events or identifying patient at elevated risk of developing future HF events such as HF decompensation are described. A medical system can detect a contextual condition associated with a patient, including an environmental context or a physiologic context. The contextual condition includes information indicative or correlative of a change in metabolic demand. The system can include a heart rate (HR) analyzer circuit that extracts a HR feature from a cardiac activity signal, and perform multiple HR feature measurements in response to the detected patient contextual condition meeting a specified criterion. The system can calculate one or more signal metrics including a HR metric using the HR feature measurements. The system can detect an HF event using the signal metrics, or use the signal metrics to calculate a composite risk indicator indicative of the patient'"'"'s likelihood of developing a future HF event.
-
Citations
20 Claims
-
1. A system, comprising:
-
a context detector circuit configured to detect contextual condition associated with a patient, the contextual condition including information indicative or correlative of a change in metabolic demand of a patient; a heart rate (HR) analyzer circuit configured to sense from the patient a cardiac activity signal, extract a HR feature from the sensed cardiac activity signal, and perform a plurality of measurements of the HR feature in response to the detected patient contextual condition meeting a specified criterion; a target event indicator generator circuit configured to calculate one or more signal metrics using the plurality of measurements of the HR feature; and a physiologic event detector circuit coupled to the target event indicator generator circuit, the physiologic event detector circuit configured to detect a target physiologic event using the one or more signal metrics. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
-
-
12. A system, comprising:
-
a signal analyzer circuit, including; a context detector circuit configured to receive contextual condition associated with a patient, the contextual condition including time of a day or a physical activity or exertion level of the patient; a HR analyzer circuit configured to receive a cardiac activity signal from the patient, extract a HR feature from the sensed cardiac activity signal, and perform a plurality of measurements of the HR feature in response to the received time of day meets a specified criterion or the received physical activity or exertion level exceeds a specified threshold value; and a signal metrics generator circuit configured to calculate one or more signal metrics using the plurality of measurements of the HR feature; and a risk stratifier circuit configured to generate a composite risk indicator (CRI) using the one or more signal metrics, the CRI indicative of the likelihood of the patient developing a future event indicative of a new disease or worsening an existing disease. - View Dependent Claims (13)
-
-
14. A method, comprising:
-
detecting a contextual condition associated with a patient, the contextual condition including information indicative or correlative of elevated metabolic demand of a patient; sensing from the patient a cardiac activity signal and extracting a HR feature from the sensed cardiac activity signal; measuring a plurality of measurements of the HR feature in response to the detected patient contextual condition meeting a specified criterion; and calculating one or more signal metrics using the plurality of measurements of the HR feature. - View Dependent Claims (15, 16, 17, 18, 19, 20)
-
Specification