MultiSENSE was an international, multicenter, non-randomised feasibility study designed to determine how ambulatory sensor measurements change with worsening heart failure (HF).
Develop and validate a multi-sensor algorithm for the early detection of worsening heart failure.
HeartLogic multi-sensor index and alert algorithm provide a sensitive and timely predictor of impending heart failure decompensation.1
- 10+ years research
- Data analysis from 12 clinical trials
- Extensive HF clinic customer visits
- Thousands of candidate features evaluated and down selected for optimal algorithm development
Identifying High-Risk Patients
The MultiSENSE study demonstrated HeartLogic Heart Failure Diagnostic’s ability to identify high-risk patients, which may allow clinicians to focus on patients at highest risk while maintaining surveillance of low-risk patients.
A Multisensor Algorithm Predicts Heart Failure Events in Patients With Implanted Devices: Results From the MultiSENSE Study
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See how HeartLogic consistently detected HF events in real-world analyses of nearly 500 patients in four studies.