obtained from photoplethysmography (PPG) signal. In order to estimate the blood pressure
from the PPG signal, in this paper the Artificial Neural Networks (ANNs) are used. Training
data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care
waveform database for better representation of possible pulse and pressure variation. In
total there were analyzed more than 15000 heartbeats and 21 parameters were extracted …