Ten steps to recording a standard 12-lead ECG

Crawford, Jacqui; Doherty, Linda M.

doi:10.12968/pnur.2010.21.12.622

Cited by 8 publications

(10 citation statements)

References 28 publications

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“…The conventional ECG procedure necessitates the placement of electrodes on the patient’s body, which can potentially lead to skin irritation due to the occasional use of conductive gel [ 12 , 13 ]. In addition, electrodes may lead to several skin complications, including skin allergies [ 14 ]. Extended usage of the device may result in the occurrence of adhesion and a decline in signal quality, thereby requiring the replacement of electrodes [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, electrodes may lead to several skin complications, including skin allergies [ 14 ]. Extended usage of the device may result in the occurrence of adhesion and a decline in signal quality, thereby requiring the replacement of electrodes [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

“…Recent technological advancements offer promising possibilities for the effective detection of anterior and inferior MI. Ultra-wideband (UWB) is a frequently utilized technology in the monitoring of vital signs [ 14 , 23 , 24 , 25 , 26 , 27 ]. It has several advantageous features over ECG and other technologies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach

Zafar,

Siddiqui,

Majid

et al. 2023

Sensors

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Despite significant improvement in prognosis, myocardial infarction (MI) remains a major cause of morbidity and mortality around the globe. MI is a life-threatening cardiovascular condition that requires prompt diagnosis and appropriate treatment. The primary objective of this research is to identify instances of anterior and inferior myocardial infarction by utilizing data obtained from Ultra-wideband radar technology in a hospital for patients of anterior and inferior MI. The collected data is preprocessed to extract spectral features. A novel feature engineering approach is designed to fuse temporal features and class prediction probability features derived from the spectral feature dataset. Several well-known machine learning models are implemented and fine-tuned to obtain optimal performance in the detection of anterior and inferior MI. The results demonstrate that integration of the fused feature set with machine learning models results in a notable improvement in both the accuracy and precision of MI detection. Notably, random forest (RF) and k-nearest neighbor showed superb performance with an accuracy of 98.8%. For demonstrating the capacity of models to generalize, K-fold cross-validation is carried out, wherein RF exhibits a mean accuracy of 99.1%. Furthermore, the examination of computational complexity indicates a low computational complexity, thereby indicating computational efficiency.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach

Zafar,

Siddiqui,

Majid

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The principal aim of this study was to improve preclinical phase ECG training in the UFS undergraduate medical curriculum, in order to improve patient outcomes and promote more cost-effective patient care (Crawford & Doherty, 2010;Jevon, 2010). A secondary aim was to categorise key factors that impact early phase CB ECG learning, to provide a checklist that may streamline decision-making at medical schools (locally and abroad) in this regard.…”

Section: Introductionmentioning

confidence: 99%

Is community-based electrocardiography education feasible in the early phase of an undergraduate medical curriculum?

Larson

Bezuidenhout

Merwe

2017

Health SA Gesondheid

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“…ECG morphology [ 4 , 51 ] simply is the waveform or perspective of the electrical activity of the cardiac muscle, depolarization, and repolarization, in a cardiac cycle. The heart produces electrical impulses which spread through the cardiac muscle to make the heart contract.…”

Section: Introductionmentioning

confidence: 99%

Robust and Accurate Anomaly Detection in ECG Artifacts Using Time Series Motif Discovery

Sivaraks

Ratanamahatana

2015

Computational and Mathematical Methods in Medicine

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Electrocardiogram (ECG) anomaly detection is an important technique for detecting dissimilar heartbeats which helps identify abnormal ECGs before the diagnosis process. Currently available ECG anomaly detection methods, ranging from academic research to commercial ECG machines, still suffer from a high false alarm rate because these methods are not able to differentiate ECG artifacts from real ECG signal, especially, in ECG artifacts that are similar to ECG signals in terms of shape and/or frequency. The problem leads to high vigilance for physicians and misinterpretation risk for nonspecialists. Therefore, this work proposes a novel anomaly detection technique that is highly robust and accurate in the presence of ECG artifacts which can effectively reduce the false alarm rate. Expert knowledge from cardiologists and motif discovery technique is utilized in our design. In addition, every step of the algorithm conforms to the interpretation of cardiologists. Our method can be utilized to both single-lead ECGs and multilead ECGs. Our experiment results on real ECG datasets are interpreted and evaluated by cardiologists. Our proposed algorithm can mostly achieve 100% of accuracy on detection (AoD), sensitivity, specificity, and positive predictive value with 0% false alarm rate. The results demonstrate that our proposed method is highly accurate and robust to artifacts, compared with competitive anomaly detection methods.

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Ten steps to recording a standard 12-lead ECG

Abstract: Jacqui Crawford and Linda Doherty outline ten steps to correctly recording a 12-lead electrocardiograph (ECG). Precise, standard electrode positions prevent misinterpretation and subsequent mismanagement

Cited by 8 publications

References 28 publications

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach

Is community-based electrocardiography education feasible in the early phase of an undergraduate medical curriculum?

Robust and Accurate Anomaly Detection in ECG Artifacts Using Time Series Motif Discovery

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