The goal of the study is to calibrate the algorithmic model of the TakeCoeur AI device to detect early heart failure decompensation in patients with heart failure, using physiological data (clinical) actively and passively collected through connected medical devices (watch, blood pressure monitor, and scale).
Age ≥ 18 years
Hospitalization in the past 12 months for a heart failure exacerbation.
NYHA class II to IV (New York Heart Association) at the time of inclusion, with elevated natriuretic peptide levels (BNP > 100 pg/mL or NT-proBNP > 1000 pg/mL).
French speaking patient
Patient undergoing dialysis for renal failure
Patient who has received or is scheduled to receive a heart transplant or circulatory assistance within the next 12 months
Patient with a left ventricular ejection fraction ≥ 50% (for non-diastolic heart failure)
Obese patient with a body mass index ≥ 40 kg/m²