A review of arrhythmia detection based on electrocardiogram with artificial intelligence
Sign Up to like & getrecommendations! Published in 2022 at "Expert Review of Medical Devices"
DOI: 10.1080/17434440.2022.2115887
Abstract: ABSTRACT Introduction With the widespread availability of portable electrocardiogram (ECG) devices, there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia mainly relies on the rules of medical knowledge, which are insufficient… read more here.
Keywords: arrhythmia detection; arrhythmia; artificial intelligence; review arrhythmia ... See more keywords
A Self-Contained STFT CNN for ECG Classification and Arrhythmia Detection at the Edge
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204703
Abstract: Automated classification of Electrocardiogram (ECG) for arrhythmia monitoring is the core of cardiovascular disease diagnosis. Machine Learning (ML) is widely used for arrhythmia detection. The cloud-based inference is the prevailing deployment model of modern ML… read more here.
Keywords: classification; arrhythmia detection; edge; model ... See more keywords
A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2021.3135330
Abstract: Arrhythmia accounts for more than 80% of sudden cardiac death, and its incidence rate has increased rapidly recently. Nowadays, many studies have applied artificial intelligence (AI) methods to arrhythmia detection. Deep learning approaches can improve… read more here.
Keywords: arrhythmia detection; arrhythmia; multilabel; dual level ... See more keywords
Wearable devices for cardiac arrhythmia detection: a new contender?
Sign Up to like & getrecommendations! Published in 2019 at "Internal Medicine Journal"
DOI: 10.1111/imj.14274
Abstract: There has been increased consumer uptake of smart devices and wearable technology. They facilitate non‐invasive, ambulatory assessment of numerous cardiac indices, including the heart rate and rhythm. Several studies have reported on the utility and… read more here.
Keywords: new contender; cardiac arrhythmia; arrhythmia detection; detection new ... See more keywords
Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/8571970
Abstract: The level of patient's illness is determined by diagnosing the problem through different methods like physically examining patients, lab test data, and history of patient and by experience. To treat the patient, proper diagnosis is… read more here.
Keywords: arrhythmia detection; machine; machine learning; learning ... See more keywords
CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia Dataset
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cardiovascular Medicine"
DOI: 10.3389/fcvm.2022.893090
Abstract: ECG is a non-invasive tool for arrhythmia detection. In recent years, wearable ECG-based ambulatory arrhythmia monitoring has gained increasing attention. However, arrhythmia detection algorithms trained on existing public arrhythmia databases show higher FPR when applied… read more here.
Keywords: cachet cadb; arrhythmia detection; arrhythmia;
Fetal Arrhythmia Detection Based on Labeling Considering Heartbeat Interval
Sign Up to like & getrecommendations! Published in 2022 at "Bioengineering"
DOI: 10.3390/bioengineering10010048
Abstract: Arrhythmia is one of the causes of sudden infant death, and it is very important to detect fetal arrhythmia for fetal well-being. Fetal electrocardiogram (FECG) is one of the methods to detect a heartbeat. Fetal… read more here.
Keywords: arrhythmia detection; arrhythmia; fetal arrhythmia; detection ... See more keywords
A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13101732
Abstract: Bibliometric analysis is a widely used technique for analyzing large quantities of academic literature and evaluating its impact in a particular academic field. In this paper bibliometric analysis has been used to analyze the academic… read more here.
Keywords: detection classification; arrhythmia detection; analysis;
Arrhythmia Detection Based on Hybrid Features of T-Wave in Electrocardiogram
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.4018/978-1-7998-1192-3.ch001
Abstract: An electrocardiogram (ECG) is used as one of the important diagnostic tools for the detection of the health of a heart. An automatic heart abnormality identification methods sense numerous abnormalities or arrhythmia and decrease the… read more here.
Keywords: classification; arrhythmia detection; hybrid features; features wave ... See more keywords