[HTML][HTML] State-of-the-art deep learning methods on electrocardiogram data: systematic review
Background Electrocardiogram (ECG) is one of the most common noninvasive diagnostic
tools that can provide useful information regarding a patient's health status. Deep learning …
tools that can provide useful information regarding a patient's health status. Deep learning …
Care Models for Acute Chest Pain That Improve Outcomes and Efficiency: JACC State-of-the-Art Review
Existing assessment pathways for acute chest pain are often resource-intensive, prolonged,
and expensive. In this review, the authors describe existing chest pain pathways and current …
and expensive. In this review, the authors describe existing chest pain pathways and current …
Intracoronary electrocardiogram detects coronary microvascular dysfunction and ischemia in patients with no obstructive coronary arteries disease
Background Coronary microvascular dysfunction (CMD) is the leading cause of ischemia
with no obstructive coronary arteries disease (INOCA) disease. Diagnosis of CMD relies on …
with no obstructive coronary arteries disease (INOCA) disease. Diagnosis of CMD relies on …
Primary versus iatrogenic (post-PCI) coronary microvascular dysfunction: a wire-based multimodal comparison
Background Although there are studies examining each one separately, there are no data in
the literature comparing the magnitudes of the iatrogenic, percutaneous coronary …
the literature comparing the magnitudes of the iatrogenic, percutaneous coronary …
Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and …
Abstract Objectives Coronary artery diseases (CADs) are the leading cause of death
worldwide and early diagnosis is crucial for timely treatment. To address this, our study …
worldwide and early diagnosis is crucial for timely treatment. To address this, our study …
Significance of Features from Biomedical Signals in Heart Health Monitoring
MMRK Mamun - BioMed, 2022 - mdpi.com
Cardiovascular diseases require extensive diagnostic tests and frequent physician visits.
With the advance in signal processing and sensor technology, now it is possible to acquire …
With the advance in signal processing and sensor technology, now it is possible to acquire …
[Retracted] Meta‐Analysis of Dynamic Electrocardiography in the Diagnosis of Myocardial Ischemic Attack of Coronary Heart Disease
W Ruan - Computational and Mathematical Methods in …, 2022 - Wiley Online Library
Background and Aims. Patients with coronary artery disease (CHD) are prone to early
myocardial ischemia; early diagnosis of myocardial ischemia is of great significance in …
myocardial ischemia; early diagnosis of myocardial ischemia is of great significance in …
ECG analysis via machine learning techniques: News and perspectives
Diseases affecting the heart have also become common day by day as a result of a bad
lifestyle involving medical conditions such as diabetes and hypertension. ECG is the gold …
lifestyle involving medical conditions such as diabetes and hypertension. ECG is the gold …
[PDF][PDF] A hybrid detection model for meticulous presaging of heart disease using deep learning: HDMPHD
Heart diseases that occur due to the blockage of coronary arteries, which causes heart
attack, are also commonly known as myocardial infarction. Rapid detection and acute …
attack, are also commonly known as myocardial infarction. Rapid detection and acute …
The inhibition of Prolyl Endopeptidase as a potential therapeutic target for the treatment of ischemic-reperfusion
L Cucinotta - 2024 - tesidottorato.depositolegale.it
Ischemia/reperfusion injury (IRI) is a complex pathophysiological process characterized by
disturbances in blood circulation caused by various factors, such as traumatic shock …
disturbances in blood circulation caused by various factors, such as traumatic shock …