A new perspective of an old tool: an everlasting benefit of the electrocardiogram in dilated cardiomyopathy
Sign Up to like & getrecommendations! Published in 2020 at "European Journal of Heart Failure"
DOI: 10.1002/ejhf.1861
Abstract: Dilated cardiomyopathy (DCM) is characterised by dilatation and systolic dysfunction of the ventricles in the absence of significant abnormalities in loading conditions or coronary artery disease.1 DCM affects approximately one in 2500–3000 people, with the… read more here.
Keywords: dcm; red flags; heart failure; dilated cardiomyopathy ... See more keywords
An artificial intelligence electrocardiogram analysis for detecting cardiomyopathy in the peripartum period.
Sign Up to like & getrecommendations! Published in 2022 at "International journal of cardiology"
DOI: 10.1016/j.ijcard.2022.01.064
Abstract: BACKGROUND Peripartum cardiomyopathy (PPCM) is a fatal maternal complication, with left ventricular systolic dysfunction (LVSD; Left ventricular ejection fraction 45% or less) occurring at the end of pregnancy or in the months following delivery. The… read more here.
Keywords: cardiomyopathy peripartum; period; electrocardiogram; peripartum ... See more keywords
Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram
Sign Up to like & getrecommendations! Published in 2021 at "iScience"
DOI: 10.1016/j.isci.2021.102373
Abstract: Summary Electrocardiogram (ECG) is a widely used reliable, non-invasive approach for cardiovascular disease diagnosis. With the rapid growth of ECG examinations and the insufficiency of cardiologists, accurate and automatic diagnosis of ECG signals has become… read more here.
Keywords: diagnosis; deep learning; interpretable deep; automatic diagnosis ... See more keywords
Titanium dioxide based bioelectric sensor for the acquisition of electrocardiogram signals
Sign Up to like & getrecommendations! Published in 2021 at "Microchemical Journal"
DOI: 10.1016/j.microc.2020.105656
Abstract: Abstract We report the development of dry sensors that do not require the use of gel or preparation of skin for Electrocardiogram (ECG) signal detection. Bioelectric sensors are transducers that convert ionic currents within the… read more here.
Keywords: dioxide based; acquisition; titanium dioxide; electrocardiogram ... See more keywords
The electrocardiogram of vertebrates: Evolutionary changes from ectothermy to endothermy.
Sign Up to like & getrecommendations! Published in 2019 at "Progress in biophysics and molecular biology"
DOI: 10.1016/j.pbiomolbio.2018.08.005
Abstract: The electrocardiogram (ECG) reveals that heart chamber activation and repolarization are much faster in mammals and birds compared to ectothermic vertebrates of similar size. Temperature, however, affects electrophysiology of the heart and most data from… read more here.
Keywords: vertebrates evolutionary; chamber activation; electrocardiogram vertebrates; evolutionary changes ... See more keywords
Electrocardiogram-based deep learning improves outcome prediction following cardiac resynchronization therapy
Sign Up to like & getrecommendations! Published in 2022 at "European Heart Journal"
DOI: 10.1093/eurheartj/ehac617
Abstract: Abstract Aims This study aims to identify and visualize electrocardiogram (ECG) features using an explainable deep learning–based algorithm to predict cardiac resynchronization therapy (CRT) outcome. Its performance is compared with current guideline ECG criteria and… read more here.
Keywords: cardiac resynchronization; electrocardiogram; ecg; resynchronization therapy ... See more keywords
A Novel Wearable Electrocardiogram Classification System Using Convolutional Neural Networks and Active Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2890865
Abstract: Arrhythmias reflect electrical abnormalities of the heart, and they can lead to severe harm to the heart. An electrocardiogram (ECG) is a useful tool to manifest arrhythmias. In this paper, we present an automatic system… read more here.
Keywords: system; electrocardiogram; using convolutional; system using ... See more keywords
CLECG: A Novel Contrastive Learning Framework for Electrocardiogram Arrhythmia Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2021.3114119
Abstract: Deep learning-based intelligent electrocardiogram (ECG) diagnosis algorithms heavily rely on large annotated datasets. Unfortunately, in the context of ECG diagnosis, privacy issues and the high cost of data annotations lead to a shortage of ECG… read more here.
Keywords: novel contrastive; clecg novel; ecg diagnosis; contrastive learning ... See more keywords
Electrocardiogram abnormalities and renal impairment in patients with type 2 diabetes mellitus: A healthcare facilities‐based cross‐sectional study in Dang district of Nepal
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Diabetes Investigation"
DOI: 10.1111/jdi.13985
Abstract: The global burden of diabetes mellitus is rising substantially, with a further increase in cardiovascular and kidney disease burden. These public health problems are highly prevalent in low‐ and middle‐income countries, including Nepal. However, there… read more here.
Keywords: patients type; electrocardiogram; abnormalities renal; renal impairment ... See more keywords
Detection of Heart Arrhythmia on Electrocardiogram using Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1094830
Abstract: The electrocardiogram, also known as an electrocardiogram (ECG), is considered to be one of the most significant sources of data regarding the structure and function of the heart. In order to obtain an electrocardiogram, the… read more here.
Keywords: heart arrhythmia; electrocardiogram; heart; arrhythmia electrocardiogram ... See more keywords
Low power CMOS electrocardiogram amplifier design for wearable cardiac screening
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v8i3.pp1830-1836
Abstract: The trend of health care screening devices in the world is increasingly towards the favor of portability and wearability. This is because these wearable screening devices are not restricting the patient’s freedom and daily activities.… read more here.
Keywords: power; cardiac screening; low power; wearable cardiac ... See more keywords