A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
Deep learning has made many advances in data classification using electrocardiogram
(ECG) waveforms. Over the past decade, data science research has focused on developing …
(ECG) waveforms. Over the past decade, data science research has focused on developing …
A knowledge-driven graph convolutional network for abnormal electrocardiogram diagnosis
Z Ge, H Cheng, Z Tong, Z He, A Alhudhaif… - Knowledge-Based …, 2024 - Elsevier
The electrocardiogram (ECG) signal comprising P-, Q-, R-, S-, and T-waves is an
indispensable noninvasive diagnostic tool for analyzing physiological conditions of the …
indispensable noninvasive diagnostic tool for analyzing physiological conditions of the …
Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models
X Wei, Z Li, Y Tian, M Wang, J Liu, Y Jin, W Ding… - … Applications of Artificial …, 2024 - Elsevier
To achieve optimal performance in practical applications, the electrocardiogram (ECG)
diagnosis models have to be personalized using the ECG data of specific patients. Most …
diagnosis models have to be personalized using the ECG data of specific patients. Most …
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
Electrocardiograms (ECG) are widely employed as a diagnostic tool for monitoring electrical
signals originating from a heart. Recent machine learning research efforts have focused on …
signals originating from a heart. Recent machine learning research efforts have focused on …
Bskdecg: A Novel Balanced Self-Supervised Knowledge Distillation Framework for Electrocardiogram Arrhythmia Diagnosis of Wearable Devices
Y Wang, A Chunyan, W Yang, Y Li, W Guijin - Available at SSRN 4598729 - papers.ssrn.com
Portable electrocardiogram (ECG) detection has become increasingly essential for early
screening and postoperative review of arrhythmia. However, since wearable devices can …
screening and postoperative review of arrhythmia. However, since wearable devices can …