Neural networks applied to 12-lead electrocardiograms predict body mass index, visceral adiposity and concurrent cardiometabolic ill-health [0.03%]
神经网络应用于12导联心电图预测体重指数、内脏脂肪和并行的代谢性心脏疾病
Xinyang Li,Kiran Haresh Kumar Patel,Lin Sun et al.
Xinyang Li et al.
Background: Obesity is associated with electrophysiological remodeling, which manifests as detectable changes on the surface electrocardiogram (ECG). Obje...
A cardiovascular clinic patients' survey to assess challenges and opportunities of digital health adoption during the COVID-19 pandemic [0.03%]
心血管诊所患者调查以评估COVID-19大流行期间数字健康采纳的挑战和机遇
Lilas Dagher,Saihariharan Nedunchezhian,Abdel Hadi El Hajjar et al.
Lilas Dagher et al.
Background: COVID-19 boosted healthcare digitalization and personalization in cardiology. However, understanding patient attitudes and engagement behaviors is essential to achieve successful acceptance and implementation ...
Natural language processing of implantable cardioverter-defibrillator reports in hypertrophic cardiomyopathy: A paradigm for longitudinal device follow-up [0.03%]
肥厚型心肌病植入式心律转复除颤器报告的自然语言处理：纵向设备随访的一种范例
Konstantinos C Siontis,Huzefa Bhopalwala,Nakeya Dewaswala et al.
Konstantinos C Siontis et al.
Background: The follow-up of implantable cardioverter-defibrillators (ICDs) generates large amounts of valuable structured and unstructured data embedded in device interrogation reports. ...
Evaluating factors of greater patient satisfaction with outpatient cardiology telehealth visits during the COVID-19 pandemic [0.03%]
评估COVID-19大流行期间心脏病学门诊远程医疗服务患者满意度更高的因素
David Cho,Suzan Khalil,Megan Kamath et al.
David Cho et al.
Background: The impact of telehealth on cardiovascular care during the COVID-19 pandemic on patient satisfaction and factors associated with satisfaction are not well characterized. ...
When smartwatches contribute to health anxiety in patients with atrial fibrillation [0.03%]
智能手表如何导致心房颤动患者的健康焦虑
Lindsey Rosman,Anil Gehi,Rachel Lampert
Lindsey Rosman
Does Sex Modify an Association of Electrophysiological Substrate with Sudden Cardiac Death? The Atherosclerosis Risk in Communities (ARIC) Study [0.03%]
电生理 substrate与突发性心血管病死亡的关系会因性别的不同而不同吗？社区动脉粥样硬化风险（ARIC）研究
Stacey J Howell,David German,Aron Bender et al.
Stacey J Howell et al.
Background—: Sex is a well-recognized risk factor for sudden cardiac death (SCD). We hypothesized that sex modifies the association of electrophysiological (EP) substrate with SCD. ...
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG [0.03%]
机器学习能够利用12导联心电图非侵入性地预测房颤驱动位置和急性肺静脉消融的成功率
Giorgio Luongo,Luca Azzolin,Steffen Schuler et al.
Giorgio Luongo et al.
Background: Atrial fibrillation (AF) is the most common supraventricular arrhythmia, characterized by disorganized atrial electrical activity, maintained by localized arrhythmogenic atrial drivers. Pulmonary vein isolatio...
Corrigendum to: Discriminating electrocardiographic responses to His-bundle pacing using machine learning [Cardiovascular Digital Health Journal 1 (2020) 11-20/5] [0.03%]
有关使用机器学习区分希氏束起搏的电生理反应的矫正内容[心血管数字健康杂志1（2020）11-20/5]
[This corrects the article DOI: 10.1016/j.cvdhj.2020.07.001.]. © 2020 The Author(s).