Holter ECG diagnosis of nicotine-spray induced ventricular fibrillation. An unusual case of Prinzmetal variant angina.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of electrocardiology"
DOI: 10.1016/j.jelectrocard.2020.09.004
Abstract: We report on an interesting case of resuscitated sudden cardiac death (SDC) in a 51-year-old with hypertension and positive family history for SDC. The patient was resuscitated and an emergency angiogram ruled out coronary artery… read more here.
Keywords: spray; ecg diagnosis; holter; diagnosis nicotine ... See more keywords
Adaptive Partition of ECG Diagnosis Between Cloud and Wearable Sensor Net Using Open-Loop and Closed-Loop Switch Mode
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182704
Abstract: Remote electrocardiogram (ECG) diagnosis with continuous real-time or near-real-time performance via a wireless wearable computing system would have significant value since it will enable on-time alerts and interventions, leading to life-saving outcomes. In this paper,… read more here.
Keywords: open loop; diagnosis; loop closed; ecg diagnosis ... See more keywords
CLECG: A Novel Contrastive Learning Framework for Electrocardiogram Arrhythmia Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3114119
Abstract: Deep learning-based intelligent electrocardiogram (ECG) diagnosis algorithms heavily rely on large annotated datasets. Unfortunately, in the context of ECG diagnosis, privacy issues and the high cost of data annotations lead to a shortage of ECG… read more here.
Keywords: novel contrastive; clecg novel; ecg diagnosis; contrastive learning ... See more keywords
Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3147328
Abstract: The accurate electrocardiogram (ECG) interpretation is important for several potentially life-threatening cardiac diseases. Recently developed deep learning methods show their ability to distinguish some severe heart diseases. However, since deep neural network requires a high… read more here.
Keywords: neural network; network; large scale; homecare ... See more keywords