Background: Remote monitoring of heart failure (HF) patients may help in the early detection of acute HF decompensation before the onset of symptoms. Appropriate early intervention in these patients may reduce HF-related hospitalizations and costs.
Methods: The MUSIC (Multi-Sensor Monitoring in Congestive Heart Failure) study comprises 2 multicenter nonrandomized phases (MUSIC-Development and MUSIC-Validation) designed to develop and validate an algorithm for the prediction of acute HF decompensation using multiple physiologic signals obtained from an external, adherent, multisensor system capable of intermittent transmission of physiologic signals.