Transient attenuation of the amplitude of the QRS complexes in the diagnosis of Takotsubo syndrome
JE Madias - European Heart Journal: Acute Cardiovascular …, 2014 - journals.sagepub.com
Background and objectives: Currently, there are no specific diagnostic electrocardiogram
(ECG) signs for Takotsubo syndrome (TTS) to differentiate it from acute coronary syndromes …
(ECG) signs for Takotsubo syndrome (TTS) to differentiate it from acute coronary syndromes …
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 …
Systematic review of clinical decision support systems for prehospital acute coronary syndrome identification
Objectives: Timely prehospital diagnosis and treatment of acute coronary syndrome (ACS)
are required to achieve optimal outcomes. Clinical decision support systems (CDSS) are …
are required to achieve optimal outcomes. Clinical decision support systems (CDSS) are …
Assessing computerized eye tracking technology for gaining insight into expert interpretation of the 12-lead electrocardiogram: an objective quantitative approach
Introduction It is well known that accurate interpretation of the 12-lead electrocardiogram
(ECG) requires a high degree of skill. There is also a moderate degree of variability among …
(ECG) requires a high degree of skill. There is also a moderate degree of variability among …
Ecglens: Interactive visual exploration of large scale ecg data for arrhythmia detection
The Electrocardiogram (ECG) is commonly used to detect arrhythmias. Traditionally, a single
ECG observation is used for diagnosis, making it difficult to detect irregular arrhythmias …
ECG observation is used for diagnosis, making it difficult to detect irregular arrhythmias …
LW-DN161: a cardiovascular disorder classification from 12 lead ECG images using convolutional neural network
N Jothiaruna, AA Leema - Soft Computing, 2023 - Springer
Cardiovascular diseases accurate detection and classification at an early stage, aiming to
mitigate the severity of the condition. The abrupt obstruction of blood vessels is identified as …
mitigate the severity of the condition. The abrupt obstruction of blood vessels is identified as …
3D ECG display with deep learning approach for identification of cardiac abnormalities from a variable number of leads
G Bortolan - Physiological Measurement, 2023 - iopscience.iop.org
Objective. The objective of this study is to explore new imaging techniques with the use of
the deep learning method for the identification of cardiac abnormalities present in …
the deep learning method for the identification of cardiac abnormalities present in …
Evaluating the impact of pseudo-colour and coordinate system on the detection of medication-induced ECG changes
The electrocardiogram (ECG), a graphical representation of the heart's electrical activity, is
used for detecting cardiac pathologies. Certain medications can produce a complication …
used for detecting cardiac pathologies. Certain medications can produce a complication …
Designing an ECG curriculum for residents: Evidence-based approaches to improving resident ECG interpretation skills
MG Kaye, AV Kwiatkowski, HA Khan… - Journal of …, 2023 - Elsevier
Residents enter their training with variable comfort and competency in electrocardiogram
(ECG) interpretation. Accurately interpreting an ECG is a fundamental skill in medicine and …
(ECG) interpretation. Accurately interpreting an ECG is a fundamental skill in medicine and …
The role of automated 12-lead ECG interpretation in the diagnosis and risk stratification of cardiovascular disease
The electrocardiogram (ECG) is the most widely used diagnostic test in clinical settings. The
ECG signal is well-understood and its use in clinical applications is regulated by widely …
ECG signal is well-understood and its use in clinical applications is regulated by widely …