Macrophage polarization in cardiac tissue repair following myocardial infarction
Cardiovascular disease is the leading cause of mortality and morbidity around the globe,
creating a substantial socio-economic burden as a result. Myocardial infarction is a …
creating a substantial socio-economic burden as a result. Myocardial infarction is a …
Recent perspective of polymeric biomaterial in tissue engineering–a review
Tissue engineering represents an advanced approach to treating patients who have
suffered tissue or organ loss or failure, with the ultimate goals of tissue restoration and …
suffered tissue or organ loss or failure, with the ultimate goals of tissue restoration and …
Myocardial infarction detection based on deep neural network on imbalanced data
Myocardial infarction (MI) is an acute interruption of blood flow to the heart, which causes the
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
heart to suffer from a deficiency of blood and ischemia, so the heart muscle is damaged, and …
Collateral damage: medical care avoidance behavior among patients with myocardial infarction during the COVID-19 pandemic
Abstract The coronavirus disease-2019 (COVID-19) pandemic has caused an enormous
strain on healthcare systems and society on a global scale. We report a new phenomenon of …
strain on healthcare systems and society on a global scale. We report a new phenomenon of …
Curcumin prevents chronic intermittent hypoxia-induced myocardial injury
S Moulin, C Arnaud, S Bouyon… - … in Chronic Disease, 2020 - journals.sagepub.com
Background: Chronic intermittent hypoxia (IH), the hallmark feature of obstructive sleep
apnoea syndrome, contributes to infarct size enhancement after myocardial ischemia …
apnoea syndrome, contributes to infarct size enhancement after myocardial ischemia …
ECG denoising method based on an improved VMD algorithm
C Li, Y Wu, H Lin, J Li, F Zhang… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Electrocardiogram (ECG) acquisition is easily contaminated by interferences, and denoising
is the most important task in ECG detection. The variational mode decomposition (VMD) …
is the most important task in ECG detection. The variational mode decomposition (VMD) …
ST-Segment–Elevation myocardial infarction during COVID-19 pandemic: insights from a regional public service healthcare hub
Background: Coronavirus disease 2019 (COVID-19) pandemic has led to a fast and radical
transformation in social, economic, and healthcare networks. COVID-19 outbreak may thus …
transformation in social, economic, and healthcare networks. COVID-19 outbreak may thus …
Artificial intelligence methods for analysis of electrocardiogram signals for cardiac abnormalities: state-of-the-art and future challenges
SK Saini, R Gupta - Artificial Intelligence Review, 2022 - Springer
Abstract Cardiovascular diseases (CVDs) in India and globally are the major cause of
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
mortality, as revealed by the World Health Organization (WHO). The irregularities in the pace …
Advanced bioelectrical signal processing methods: Past, present and future approach—part i: Cardiac signals
Advanced signal processing methods are one of the fastest developing scientific and
technical areas of biomedical engineering with increasing usage in current clinical practice …
technical areas of biomedical engineering with increasing usage in current clinical practice …
Automated localization and severity period prediction of myocardial infarction with clinical interpretability based on deep learning and knowledge graph
C Han, S Pan, W Que, Z Wang, Y Zhai, L Shi - Expert Systems with …, 2022 - Elsevier
This paper presented an interpretable method for myocardial infarction (MI) localization and
severity period prediction using 12-leads electrocardiograms (ECG) based on deep learning …
severity period prediction using 12-leads electrocardiograms (ECG) based on deep learning …