Atrial fibrillation is a supraventricular tachyarrhythmia and the most common kind. It is caused by rapid, uncontrolled atrial contractions and uncoordinated ventricular responses.
The relatively high prevalence of atrial fibrillation (AF) and the associated impaired quality of life particularly in older women signifies the importance of this condition and its prevention. In age groups older than 75 years approximately 60 % of all AF patients are women. AF is associated ...
MIT-BIH Atrial Fibrillation database (AFDB)21, MIT-BIH Arrhythmia database (MITDB), are used22. The LTAFDB consist of 84 subjects with paroxysmal or sustained atrial fibrillation, which is two-channel ECG signal digitized at 128 Hz with 12-bit resolution over 20 mV range for about 24...
该机制使用11层CNN-IENN模型可以自动区分ECG信号。在两个公共数据库上通过10倍交叉验证对提出的模型进行了验证,同时获得了比几种最新算法更好的分类结果。研究的主要发现是,CNN和IENN的集成不仅使模型能够从原始ECG数据中自学本质特征,而且有助于增强ECG信号分析的模型性能。此外,分类模型可以高效,准确地实现自动AF和...
ECG ExamplesExample 1Atrial fibrillation:Irregular ventricular response Coarse fibrillatory waves are visible in V1 “Sagging” ST segment depression is visible in V6, II, III and aVF, suggestive of digoxin effectExample 2Atrial fibrillation:
In 2018, the US Preventive Services Task Force (USPSTF) published an evidence report and scientific review of electrocardiographic (ECG) screening for atrial fibrillation (AF).1 Based on this review, the task force concluded that there was inadequate evidence to assess whether screening with ECG ...
Characteristic findings in the ECG (absence of the P-wave, irregular atrial oscillations replacing the P-waves, and the irregular ventricular response) permit a reliable diagnosis of atrial fibrillation it, most cases. The morphology of f-waves (fine or coarse) seems to be of little clinical re...
Prescribing anti-clotting medications to adults younger than age 65 who have atrial fibrillation (AFib) but no other risk factors for stroke did not reduce the risk of cognitive decline, stroke or transient ischemic attack ... Nov 18, 2024 ...
Deep learning has shown great promise in predicting Atrial Fibrillation using ECG signals and other vital signs. However, a major hurdle lies in the privacy concerns surrounding these datasets, which often contain sensitive patient information. Balancing accurate AFib prediction with robust user privacy ...
【论文阅读笔记】Automated detection of atrial fibrillation and atrial flutter in ECG signals based on convol,程序员大本营,技术文章内容聚合第一站。