Electrocardiography (ECG)
31 papers with code • 0 benchmarks • 2 datasets
Benchmarks
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Libraries
Use these libraries to find Electrocardiography (ECG) models and implementations
MIMIC PERform Testing Dataset
MIMIC-IV-ECG
Subtasks
Latest papers with no code
OpenDriver: an open-road driver state detection dataset
Therefore, in this paper, a large-scale multimodal driving dataset for driver impairment detection and biometric data recognition is designed and described.
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage
As sleep disorders are becoming more prevalent there is an urgent need to classify sleep stages in a less disturbing way. In particular, sleep-stage classification using simple sensors, such as single-channel electroencephalography (EEG), electrooculography (EOG), electromyography (EMG), or electrocardiography (ECG) has gained substantial interest.
Measurement of Individual Alteration in Perioperative ECGs During Elective Percutaneous Coronary Intervention
In this work, we evaluate the inter-patient magnitude of individual ECG alterations during ischemia.
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
The learned embeddings are evaluated on two downstream tasks: (1) automatic ECG diagnosis report generation, and (2) zero-shot cardiovascular disease detection.
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
Next, the discussion section discusses the results of this review, and future work in CVDs diagnosis from CMR images and DL techniques are outlined.
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
Machine learning tasks can be divided into regression and classification.
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals
Artificial Intelligence-based (AI) analysis of large, curated medical datasets is promising for providing early detection, faster diagnosis, and more effective treatment using low-power Electrocardiography (ECG) monitoring devices information.
Towards Personalized Healthcare in Cardiac Population: The Development of a Wearable ECG Monitoring System, an ECG Lossy Compression Schema, and a ResNet-Based AF Detector
This system continuously monitors the users' ECG information to provide personalized health warnings/feedbacks.
Classification of ECG based on Hybrid Features using CNNs for Wearable Applications
To make the model immune to noise, we updated the model using frequency features and achieved good sustained performance in presence of noise with a slightly lower accuracy of 98. 69%.
Performer: A Novel PPG-to-ECG Reconstruction Transformer for a Digital Biomarker of Cardiovascular Disease Detection
This method is the first time that Transformer sequence-to-sequence translation has been performed on biomedical waveform reconstruction, combining the advantages of both PPG and ECG.
