Articles with "ecg signals" as a keyword



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Analysis of digitalized ECG signals based on artificial intelligence and spectral analysis methods specialized in ARVC

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Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"

DOI: 10.1002/cnm.3644

Abstract: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease that appears between the second and forth decade of a patient's life, being responsible for 20% of sudden cardiac deaths before the age of… read more here.

Keywords: ecg signals; disease; spectral analysis; digitalized ecg ... See more keywords
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Local Penalized Least Squares Combined with the Segment Similarity for ECG Denoising

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Published in 2021 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-021-01795-6

Abstract: Electrocardiogram (ECG) has an important reference value in the study of basic cardiac function and pathology. However, ECG signals are easily corrupted by various noises in the acquisition and transmission. Hence, the noise removal in… read more here.

Keywords: least squares; similarity; segment; ecg signals ... See more keywords
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A Novel Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG Signals

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Published in 2018 at "Journal of Medical Systems"

DOI: 10.1007/s10916-018-1031-5

Abstract: Sudden cardiac death (SCD) is one of the main causes of death among people. A new methodology is presented for predicting the SCD based on ECG signals employing the wavelet packet transform (WPT), a signal… read more here.

Keywords: methodology; death; sudden cardiac; ecg signals ... See more keywords
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Entropies for automated detection of coronary artery disease using ECG signals: A review

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Published in 2018 at "Biocybernetics and Biomedical Engineering"

DOI: 10.1016/j.bbe.2018.03.001

Abstract: Abstract Coronary artery disease (CAD) develops when coronary arteries are unable to supply oxygen-rich blood to the heart due to the accumulation of cholesterol plaque on the inner walls of the arteries. Chronic insufficient blood… read more here.

Keywords: coronary artery; heart; ecg signals; artery disease ... See more keywords
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A topological approach to delineation and arrhythmic beats detection in unprocessed long-term ECG signals

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Published in 2018 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2018.07.010

Abstract: BACKGROUND AND OBJECTIVE Arrhythmias are one of the most common symptoms of cardiac failure. They are usually diagnosed using ECG recordings, particularly long ambulatory recordings (AECG). These recordings are tedious to interpret by humans due… read more here.

Keywords: arrhythmic beats; approach delineation; beats detection; ecg signals ... See more keywords
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Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals

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Published in 2017 at "Computers in biology and medicine"

DOI: 10.1016/j.compbiomed.2017.01.019

Abstract: Identification of alarming features in the electrocardiogram (ECG) signal is extremely significant for the prediction of congestive heart failure (CHF). ECG signal analysis carried out using computer-aided techniques can speed up the diagnosis process and… read more here.

Keywords: dual tree; ecg signals; heart failure; chf ... See more keywords
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Detection of abnormal heart conditions based on characteristics of ECG signals

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Published in 2018 at "Measurement"

DOI: 10.1016/j.measurement.2018.05.033

Abstract: Abstract Heart diseases are one of the most important death causes across the globe. Therefore, early detection of heart diseases is crucial to reduce the rising death rate. Electrocardiogram (ECG) is widely used to diagnose… read more here.

Keywords: detection; heart; heart diseases; ecg signals ... See more keywords
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Human identification using finger vein and ECG signals

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Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.12.015

Abstract: Abstract Biometric human identification refers to the automated recognition of individuals based on their biological or behavioral characteristics. Finger vein recognition and electrocardiogram (ECG) recognition have received a lot of attention for over ten years… read more here.

Keywords: ecg signals; identification; vein ecg; finger vein ... See more keywords
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IR-Based Novel Device for Real-Time Online Acquisition of Fish Heart ECG Signals.

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Published in 2022 at "Environmental science & technology"

DOI: 10.1021/acs.est.1c07732

Abstract: We developed an infrared (IR)-based real-time online monitoring device (US Patent No: US 10,571,448 B2) to quantify heart electrocardiogram (ECG) signals to assess the water quality based on physiological changes in fish. The device is… read more here.

Keywords: time online; ecg signals; ecg; real time ... See more keywords
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Generation of ECG signals from a reaction-diffusion model spatially discretized

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Published in 2019 at "Scientific Reports"

DOI: 10.1038/s41598-019-55448-5

Abstract: We propose a model to generate electrocardiogram signals based on a discretized reaction-diffusion system to produce a set of three nonlinear oscillators that simulate the main pacemakers in the heart. The model reproduces electrocardiograms from… read more here.

Keywords: model; reaction diffusion; generation ecg; ecg signals ... See more keywords
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Electrocardiogram lead selection for intelligent screening of patients with systolic heart failure

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Published in 2021 at "Scientific Reports"

DOI: 10.1038/s41598-021-81374-6

Abstract: Electrocardiogram (ECG)-based intelligent screening for systolic heart failure (HF) is an emerging method that could become a low-cost and rapid screening tool for early diagnosis of the disease before the comprehensive echocardiographic procedure. We collected… read more here.

Keywords: systolic heart; lead ecg; ecg signals; heart failure ... See more keywords