MOBILE DEVICE-BASED CONGESTION PREDICTION FOR REDUCING HEART FAILURE HOSPITALIZATIONS

摘要: A method is presented for predicting onset of pulmonary congestion symptoms. The overall idea to track rising left ventricular filling pressure (LVFP) in heart failure patients by exploiting significant changes a pulsatile arterial waveform obtained with mobile device and thereby avert hospitalizations. stimulus the may be metronomic deep breathing performed patient or natural occurring arrhythmia such as atrial fibrillation premature beats. For either stimulus, extent amplitude variations depends on where Starling curve. If steep part curve, will large LVFP low. flatter smaller LFVP higher. These can normalized various ways arrive at prediction index (CPI). When CPI below some threshold declining over time within patient, then verge