Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications

K Rjoob, R Bond, D Finlay, V McGilligan… - Artificial Intelligence in …, 2022 - Elsevier
Background The application of artificial intelligence to interpret the electrocardiogram (ECG)
has predominantly included the use of knowledge engineered rule-based algorithms which …

Electrode placement in electrocardiography smart garments: A review

A Soroudi, N Hernández, L Berglin… - Journal of …, 2019 - Elsevier
Wearable Electrocardiography (ECG) sensing textiles have been widely used due to their
high flexibility, comfort, reusability and the possibility to be used for home-based and real …

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 …

The effect of precordial lead displacement on ECG morphology

M Kania, H Rix, M Fereniec… - Medical & biological …, 2014 - Springer
Inaccurate electrode placement and differences in inter-individual human anatomies can
lead to misinterpretation of ECG examination. The aim of the study was to investigate the …

The effect of massage on heart rate variability in preterm infants

SL Smith, R Lux, S Haley, H Slater, J Beechy… - Journal of …, 2013 - nature.com
Objective: To test the hypothesis that massage would improve autonomic nervous system
(ANS) function as measured by heart rate variability (HRV) in preterm infants. Study Design …

[HTML][HTML] Accuracy and knowledge in 12-lead ECG placement among nursing students and nurses: A web-based Italian study

N Giannetta, G Campagna, F Di Muzio… - Acta Bio Medica …, 2020 - ncbi.nlm.nih.gov
Methods: The study was a cross-sectional questionnaire-based study. The survey comprised
30 items, mainly multiple-choice questions. The participants were 484 nurses and nursing …

Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: a systematic review and meta-analysis

K Rjoob, R Bond, D Finlay, V McGilligan… - Journal of …, 2020 - Elsevier
Introduction Electrode misplacement and interchange errors are known problems when
recording the 12‑lead electrocardiogram (ECG). Automatic detection of these errors could …

Inter-lead correlation analysis for automated detection of cable reversals in 12/16-lead ECG

I Jekova, V Krasteva, R Leber, R Schmid… - Computer methods and …, 2016 - Elsevier
Background and objective A crucial factor for proper electrocardiogram (ECG) interpretation
is the correct electrode placement in standard 12-lead ECG and extended 16-lead ECG for …

Misplacing V1 and V2 can have clinical consequences

B Walsh - The American journal of emergency medicine, 2018 - Elsevier
The precordial electrocardiogram (ECG) leads V1 and V2 are often misplaced. Such
misplacement usually involves placing these leads too high on the chest. The resulting ECG …

Continuous ECG monitoring in patients with acute coronary syndrome or heart failure: EASI versus gold standard

L Lancia, A Toccaceli, C Petrucci… - Clinical nursing …, 2018 - journals.sagepub.com
The purpose of the study was to compare the EASI system with the standard 12-lead surface
electrocardiogram (ECG) for the accuracy in detecting the main electrocardiographic …