Background The application of artificial intelligence to interpret the electrocardiogram (ECG)
has predominantly included the use of knowledge engineered rule-based algorithms which …

More than 1 million ECGs are recorded every day. This literature review examined the
accuracy of electrode placement (EP) when acquiring a standard 12-lead …

Introduction Interpretation of the 12‑lead Electrocardiogram (ECG) is normally assisted with
an automated diagnosis (AD), which can facilitate an 'automation bias' where interpreters …

Introduction Electrode misplacement and interchange errors are known problems when
recording the 12‑lead electrocardiogram (ECG). Automatic detection of these errors could …

Background Electrocardiogram (ECG) lead misplacement can adversely affect ECG
diagnosis and subsequent clinical decisions. V1 and V2 are commonly placed superior of …

Background: A 12-lead electrocardiogram (ECG) is the most commonly used method to
diagnose patients with cardiovascular diseases. However, there are a number of possible …

This an exploratory paper that discusses the use of artificial intelligence (AI) in ECG
interpretation and opportunities for improving the explainability of the AI (XAI) when reading …

Adaptability in precordial lead placement is one of the sources of electrocardiography
inaccuracy. The present experimental study aimed to investigate the modified precordial …

For outpatients who need continuous monitoring of heart rate (HR) variation, it is important
that HR can be monitored during normal activities such as speaking and walking. In this …

Electrode misplacement during 12-lead Electrocardiogram (ECG) acquisition can cause
false ECG diagnosis and subsequent incorrect clinical treatment. A common misplacement …