Prediction of state anxiety by machine learning applied to photoplethysmography dataDavid Perpetuini, Arcangelo Merla, Vincenzo Perciavalle et al.|PeerJ|2021Cited by 42
Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status AssessmentDavid Perpetuini, G. Fallica, Antonio Maria Chiarelli et al.|Sensors|2019Cited by 26
Photoplethysmographic Prediction of the Ankle-Brachial Pressure Index through a Machine Learning ApproachDavid Perpetuini, Arcangelo Merla, Antonio Maria Chiarelli et al.|Applied Sciences|2020Cited by 26
Integrated Multi-channel PPG and ECG System for Cardiovascular Risk AssessmentDavid Perpetuini, Arcangelo Merla, Antonio Maria Chiarelli et al.|Unknown|2019Cited by 8
Convolutional neural network model for Augmentation Index prediction based on photoplethysmographyDavid Perpetuini, Arcangelo Merla, Chiara Filippini et al.|Unknown|2021Cited by 1