12 citations · 12 across the 3 of their papers we have counts for
5 papers
A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
The electrocardiogram (ECG) signal is the most widely used non-invasive tool for the investigation of cardiovascular diseases. Automatic delineation of ECG fiducial points, in part…
A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
This study presents a new viewpoint on ECG signal analysis by applying a graph-based changepoint detection model to locate R-peak positions. This model is based on a new graph lear…
A new generalization of Parrondo's games to three players and its application in genetic switches
Atiyeh Fotoohinasab
Parrondo's paradox indicates a paradoxical situation in which a winning expectation may occur in sequences of losing games. There are many versions of the original Parrondo's games…
A Graph-constrained Changepoint Detection Approach for ECG Segmentation
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
Electrocardiogram (ECG) signal is the most commonly used non-invasive tool in the assessment of cardiovascular diseases. Segmentation of the ECG signal to locate its constitutive w…
Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks
Sajad Mousavi, Atiyeh Fotoohinasab, Fatemeh Afghah
This study proposes a deep learning model that effectively suppresses the false alarms in the intensive care units (ICUs) without ignoring the true alarms using single- and multimo…