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Found 5 papers, 0 papers with code
A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection
First, we define the constraint graph manually; then, we present a graph learning algorithm that can search for an optimal graph in a greedy scheme.
A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection
This model is based on a new graph learning algorithm to learn the constraint graph given the labeled ECG data.
A new generalization of Parrondo's games to three players and its application in genetic switches
There are many versions of the original Parrondo's games in the literature, but the games are played by two players in all of them.
A Graph-constrained Changepoint Detection Approach for ECG Segmentation
Electrocardiogram (ECG) signal is the most commonly used non-invasive tool in the assessment of cardiovascular diseases.
Single-modal and Multi-modal False Arrhythmia Alarm Reduction using Attention-based Convolutional and Recurrent Neural Networks
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 multimodal biosignals.
