112 Global and temporal trends in mortality from ischaemic heart disease: statistics from the World Health Organisation

Nowbar, Alexandra N.; Gitto, Mauro; Howard, James P.; Francis, Dárrel P.; Al‐Lamee, Rasha

doi:10.1136/heartjnl-2019-bcs.109

Cited by 2 publications

(2 citation statements)

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“…Australia, Austria, Belgium, Brunei, Chile, Canada, France, Germany, Ireland, Israel, Italy, Japan, Kuwait, Malta, Netherland, New Zealand, Norway, Qatar, Saudi Arabia, Singapore, South Korea, Spain, Sweden, Taiwan, the UK and the USA are examples of high-income countries [23]. Among the more developed countries, the highest CAD death rates are seen in Ukraine and Russia accounting for 718 and 654 deaths per 100,000 population respectively, while the lowest are seen in South Korea and Japan with 36.5 and 47 deaths per 100,000 respectively [32,[93][94][95].…”

Section: High Income Regionsmentioning

confidence: 99%

Epidemiology and the Magnitude of Coronary Artery Disease and Acute Coronary Syndrome: A Narrative Review

Ralapanawa¹,

Sivakanesan²

2021

JEGH

314

147

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Coronary Artery Disease (CAD) is characterized by the presence of atherosclerosis in coronary arteries and it can be asymptomatic. Coronary Heart Disease (CHD)/Ischaemic Heart Disease (IHD) includes the diagnosis of Stable angina, Acute Coronary Syndrome (ACS) and silent myocardial ischaemia and mortality from CHD results from CAD. ACS almost always presents with a symptom and includes unstable angina and myocardial infarction. For simplicity, herein we will refer to CHD as CAD.

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Section: High Income Regionsmentioning

confidence: 99%

Epidemiology and the Magnitude of Coronary Artery Disease and Acute Coronary Syndrome: A Narrative Review

Ralapanawa¹,

Sivakanesan²

2021

JEGH

314

147

View full text Add to dashboard Cite

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“…Cardiovascular diseases have drawn global attention. This is due to its increasing prevalence and incidence [1,14]. Electrocardiogram (ECG) measures electrical activities with respect to time.…”

Section: Introductionmentioning

confidence: 99%

Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis

Qaisar

Krichen

Jallouli

2020

Lecture Notes in Computer Science

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The goal of this work is to make a contribution to the development of computationally efficient multirate Electrocardiogram (ECG) automated detectors of arrhythmia. It utilizes an intelligent combination of multirate denoising plus wavelet decomposition for an effective realization of the ECG wireless implants. The decomposed signal subband features are mined and in next step these are utilized by the mature k-Nearest Neighbor (KNN) classifier for arrhythmia diagnosis. The multirate nature substantially reduces the processing activity of the system and thus allows a dramatic decrease in energy consumption compared to traditional counterparts. The performance of the system is estimated also in terms of the classification performance. Obtained results reveal an overall 22.5-fold compression gain and 4-folds processing outperformance over the traditional equals while securing 93.2% highest classification accuracy and specificity of 0.956. Findings confirm that the proposed solution could potentially be embedded in contemporary automatic and mobile cardiac diseases diagnosis systems.

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112 Global and temporal trends in mortality from ischaemic heart disease: statistics from the World Health Organisation

Cited by 2 publications

References 0 publications

Epidemiology and the Magnitude of Coronary Artery Disease and Acute Coronary Syndrome: A Narrative Review

Epidemiology and the Magnitude of Coronary Artery Disease and Acute Coronary Syndrome: A Narrative Review

Multirate ECG Processing and k-Nearest Neighbor Classifier Based Efficient Arrhythmia Diagnosis

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