Depressive symptoms are not associated with clinically important levels of digital home blood pressure in the electronic Framingham Heart Study [0.03%]
抑郁症与电子版弗明汉心脏研究中临床重要水平的家庭血压无相关性
Jasmine Lee,Xuzhi Wang,Chunyu Liu et al.
Jasmine Lee et al.
Background: Depressive symptoms are common and share many biopsychosocial mechanisms with hypertension. Association studies between depressive symptoms and blood pressure (BP) have been inconsistent. Home BP monitoring ma...
Performance comparison of 6 in-hospital patient monitoring systems in the detection and alarm of ventricular cardiac arrhythmias [0.03%]
六种院内患者监护系统在室性心律失常检出及报警中的比较研究
Nicola Cosentino,Xuan Zhang,Emily J Farrar et al.
Nicola Cosentino et al.
Background: Patient monitoring devices are critical for alerting of potential cardiac arrhythmias during hospitalization; however, there are concerns of alarm fatigue due to high false alarm rates. ...
Postoperative atrial fibrillation: Prediction of subsequent recurrences with clinical risk modeling and artificial intelligence electrocardiography [0.03%]
人工智能心电图和临床风险模型预测术后房颤再发
Alanna M Chamberlain,Nicholas P Bergeron,Abdullah K Al-Abcha et al.
Alanna M Chamberlain et al.
Visions for digital integrated cardiovascular care: HRS Digital Health Committee perspectives [0.03%]
数字化综合心血管护理的愿景：HRS数字健康委员会的观点
Sanjiv M Narayan,Elaine Y Wan,Jason G Andrade et al.
Sanjiv M Narayan et al.
Can eHealth programs for cardiac arrhythmias be scaled-up by using the KardiaMobile algorithm? [0.03%]
使用KardiaMobile算法可以扩大针对心律失常的eHealth程序的应用规模吗？
Bridget M I Slaats,Sebastiaan Blok,G Aernout Somsen et al.
Bridget M I Slaats et al.
Background: Remote monitoring devices for atrial fibrillation are known to positively contribute to the diagnostic process and therapy compliance. However, automatic algorithms within devices show varying sensitivity and ...
Development and validation of a deep-learning model to predict 10-year atherosclerotic cardiovascular disease risk from retinal images using the UK Biobank and EyePACS 10K datasets [0.03%]
基于UK Biobank和EyePACS 10K数据集研发并验证了一种深度学习模型，该模型可通过视网膜图像预测10年动脉粥样硬化性心血管疾病风险
Ehsan Vaghefi,David Squirrell,Song Yang et al.
Ehsan Vaghefi et al.
Background: Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of death globally, and early detection of high-risk individuals is essential for initiating timely interventions. The authors aimed to develop ...
Rare-variant collapsing and bioinformatic analyses for different types of cardiac arrhythmias in the UK Biobank reveal novel susceptibility loci and candidate amyloid-forming proteins [0.03%]
英国生物样本库中不同类型心律失常的罕见变异合并和生物信息学分析揭示新型易感位点及疑似淀粉样变性蛋白候选基因
Bengt Zöller,Eric Manderstedt,Christina Lind-Halldén et al.
Bengt Zöller et al.
Background: Cardiac arrhythmias are a common health problem. Both common and rare genetic risk factors exist for cardiac arrhythmias. Cardiac amyloidosis is a rare disease that may manifest various arrhythmias. Few large-...
Precordial electrocardiographic recording and QT measurement from a novel wearable ring device [0.03%]
新型可穿戴戒指设备的前胸导联心电图记录和QT测量
G Stuart Mendenhall,Matthew O Jones,Charles V Pollack et al.
G Stuart Mendenhall et al.
Background: The availability of portable and wearable electrocardiographic (ECG) devices has increased secondary to technological development. Single-lead ECG recordings have been shown to reliably detect and characterize...
Using technology to improve reconnection to remote monitoring in cardiac implantable electronic device patients [0.03%]
利用技术提高心脏植入式电子设备患者远程监测的再连接率
Julien Durand,Jean-Luc Bonnet,Arnaud Lazarus et al.
Julien Durand et al.
Background: Remote monitoring (RM) of cardiac implantable electronic device (CIED) patients is now considered standard of care. However, a fundamental requirement of RM is continuous connectivity between the patient's imp...
Variational autoencoder-based neural electrocardiogram synthesis trained by FEM-based heart simulator [0.03%]
基于FEM心脏模拟器训练的变分自动编码器神经心电图合成方法
Ryo Nishikimi,Masahiro Nakano,Kunio Kashino et al.
Ryo Nishikimi et al.
Background: For comprehensive electrocardiogram (ECG) synthesis, a recent promising approach has been based on a heart model with physical and chemical cardiac parameters. However, the problem is that such approach requir...