AIMC Topic: Arrhythmias, Cardiac

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Deformable US/CT Image Registration with a Convolutional Neural Network for Cardiac Arrhythmia Therapy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Image registration represents one of the fundamental techniques in medical imaging and image-guided interventions. In this paper, we present a Convolutional Neural Network (CNN) framework for deformable transesophageal US/CT image registration, for t...
Tomography, X-Ray Computed Humans Arrhythmias, Cardiac Neural Networks, Computer
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Arrhythmias Classification Using Short-Time Fourier Transform and GAN Based Data Augmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Lacking sufficient training samples of different heart rhythms is a common bottleneck to obtain arrhythmias classification models with high accuracy using artificial neural networks. To solve this problem, we propose a novel data augmentation method ...
Humans Neural Networks, Computer Fourier Analysis Electrocardiography Arrhythmias, Cardiac
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Arrhythmia Classification using Deep Learning and Machine Learning with Features Extracted from Waveform-based Signal Processing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Arrhythmia is a serious cardiovascular disease, and early diagnosis of arrhythmia is critical. In this study, we present a waveform-based signal processing (WBSP) method to produce state-of-the-art performance in arrhythmia classification. When perfo...
Humans Electrocardiography Machine Learning Deep Learning Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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Wearable health devices and personal area networks: can they improve outcomes in haemodialysis patients?

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association Mar 1, 2020
Digitization of healthcare will be a major innovation driver in the coming decade. Also, enabled by technological advancements and electronics miniaturization, wearable health device (WHD) applications are expected to grow exponentially. This, in tur...
Heart Rate Arrhythmias, Cardiac Telemedicine Delivery of Health Care Reproducibility of Results Humans Renal Dialysis Artificial Intelligence Wearable Electronic Devices
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Contribution of neural networks in the diagnosis and treatment of cardiac arrhythmia.

Discovery medicine Jan 1, 2020
Arrhythmia is a dangerous disease in which the heart rhythm varies and it may be very fast or very slow. Rapid heartbeats can lead to shortness of breath, chest pain, and sudden weakness, whereas slow heartbeats can lead to dizziness, problems with c...
Humans Electrocardiography Treatment Outcome Diagnosis, Computer-Assisted Deep Learning Anti-Arrhythmia Agents Arrhythmias, Cardiac
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[Endogenous nocciceptin/orphanin FQ affect ischemic arrhythmias in rats through Raf kinase inhibitor protein].

Zhonghua wei zhong bing ji jiu yi xue Dec 1, 2019
OBJECTIVE: To investigate whether endogenous nociceptin/orphanin FQ (N/OFQ) can inhibit arrhythmia and expression of β-adrenergic receptor (β-AR) on the surface of myocardial cell membrane in acute myocardial ischemia rats by Raf kinase inhibitory pr...
Nociceptin Receptors, Opioid Animals Arrhythmias, Cardiac Opioid Peptides Rats Male Phosphatidylethanolamine Binding Protein Rats, Sprague-Dawley
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[Heartbeat-based end-to-end classification of arrhythmias].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Sep 30, 2019
OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the classification performance for supraventricular ectopic beat (SVEB) and ventricular ectopic beat (VEB).
Heart Rate Ventricular Premature Complexes Neural Networks, Computer Algorithms Electrocardiography Humans Arrhythmias, Cardiac
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Spectro-Temporal Feature Based Multi-Channel Convolutional Neural Network for ECG Beat Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Automatic classification of abnormal beats in ECG signals is crucial for monitoring cardiac conditions and the performance of the classification will improve the success rate of the treatment. However, under certain circumstances, traditional classif...
Arrhythmias, Cardiac Humans Electrocardiography Neural Networks, Computer Signal Processing, Computer-Assisted Algorithms
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An Electrocardiogram Delineator via Deep Segmentation Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Electrocardiogram (ECG) delineation is a process to detect multiple characteristic points, which contain critical diagnostic information about cardiac diseases. We treat the ECG delineation task as an one-dimensional segmentation problem, and propose...
Humans Neural Networks, Computer Databases, Factual Deep Learning Electrocardiography Arrhythmias, Cardiac
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[Automatic classification method of arrhythmia based on discriminative deep belief networks].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Jun 25, 2019
Existing arrhythmia classification methods usually use manual selection of electrocardiogram (ECG) signal features, so that the feature selection is subjective, and the feature extraction is complex, leaving the classification accuracy usually affect...
Neural Networks, Computer Databases, Factual Humans Heart Rate Electrocardiography Arrhythmias, Cardiac
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