1 citations · 1 across the 3 of their papers we have counts for
3 papers
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data
Bijan Roudini, Boshra Khajehpiri, Hamid Abrishami Moghaddam +1
Precise estimation of cardiac patients' current and future comorbidities is an important factor in prioritizing continuous physiological monitoring and new therapies. ML models hav…
Localizing the Origin of Idiopathic Ventricular Arrhythmia from ECG Using an Attention-Based Recurrent Convolutional Neural Network
Mohammadreza Shahsavari, Niloufar Delfan, Mohamad Forouzanfar
Idiopathic ventricular arrhythmia (IVAs) is extra abnormal heartbeats disturbing the regular heart rhythm that can become fatal if left untreated. Cardiac catheter ablation is the…
Oscillometric Blood Pressure Measurement Using a Hybrid Deep Morpho-Temporal Representation Learning Framework
Niloufar Delfan, Mohamad Forouzanfar
Oscillometric monitors are the most common automated blood pressure (BP) measurement devices used in non-specialist settings. However, their accuracy and reliability vary under dif…