Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications
Background The application of artificial intelligence to interpret the electrocardiogram (ECG)
has predominantly included the use of knowledge engineered rule-based algorithms which …
has predominantly included the use of knowledge engineered rule-based algorithms which …
Misplaced ECG electrodes and the need for continuing training
M Bickerton, A Pooler - British Journal of Cardiac Nursing, 2019 - magonlinelibrary.com
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 …
accuracy of electrode placement (EP) when acquiring a standard 12-lead …
Automation bias in medicine: the influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms
RR Bond, T Novotny, I Andrsova, L Koc… - Journal of …, 2018 - Elsevier
Introduction Interpretation of the 12‑lead Electrocardiogram (ECG) is normally assisted with
an automated diagnosis (AD), which can facilitate an 'automation bias' where interpreters …
an automated diagnosis (AD), which can facilitate an 'automation bias' where interpreters …
Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: a systematic review and meta-analysis
Introduction Electrode misplacement and interchange errors are known problems when
recording the 12‑lead electrocardiogram (ECG). Automatic detection of these errors could …
recording the 12‑lead electrocardiogram (ECG). Automatic detection of these errors could …
Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12‑lead electrocardiogram
Background Electrocardiogram (ECG) lead misplacement can adversely affect ECG
diagnosis and subsequent clinical decisions. V1 and V2 are commonly placed superior of …
diagnosis and subsequent clinical decisions. V1 and V2 are commonly placed superior of …
[HTML][HTML] Reliable Deep Learning–Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation
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 …
diagnose patients with cardiovascular diseases. However, there are a number of possible …
Towards explainable artificial intelligence and explanation user interfaces to open the 'Black Box'of Automated ECG interpretation
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 …
interpretation and opportunities for improving the explainability of the AI (XAI) when reading …
[HTML][HTML] Modified precordial lead ECG SafOne on electrocardiography recordings
Adaptability in precordial lead placement is one of the sources of electrocardiography
inaccuracy. The present experimental study aimed to investigate the modified precordial …
inaccuracy. The present experimental study aimed to investigate the modified precordial …
A phonocardiogram-based noise-robust real-time heart rate monitoring algorithm for outpatients during normal activities
KW Nam, JM Ahn, YJ Hwang, GR Jeon… - Journal of Mechanics …, 2018 - World Scientific
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 …
that HR can be monitored during normal activities such as speaking and walking. In this …
Machine learning improves the detection of misplaced v1 and v2 electrodes during 12-lead electrocardiogram acquisition
Electrode misplacement during 12-lead Electrocardiogram (ECG) acquisition can cause
false ECG diagnosis and subsequent incorrect clinical treatment. A common misplacement …
false ECG diagnosis and subsequent incorrect clinical treatment. A common misplacement …