Results 41 to 50 of about 678,002 (383)
Spatial Sensitivity of ECG Electrode Placement
Current Directions in Biomedical Engineering, 2021 The electrocardiogram (ECG) is a well-known technique used to diagnose cardiac diseases. To acquire the spatial signal characteristics from the thorax, multiple electrodes are commonly used.
Oltmann Andra +2 more
doaj +1 more source
Severe Oleander Poisoning Presenting with Hyperkalaemia and Unusual Electrocardiographic Changes
European Journal of Case Reports in Internal Medicine, 2021 Background: Hyperkalaemia in oleander (Nerium oleander) poisoning has been associated with a poor prognosis. Different electrocardiographic (ECG) presentations are possible because of vagotonia and hyperkalaemia.
Satyabrata Guru +5 more
doaj +1 more source
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring [PDF]
arXiv, 2023 The widespread emergence of smart devices for ECG has sparked demand for intelligent single-lead ECG-based diagnostic systems. However, it is challenging to develop a single-lead-based ECG interpretation model for multiple diseases diagnosis due to the lack of some key disease information.
arxiv
Cross-domain Joint Dictionary Learning for ECG Inference from PPG [PDF]
, 2021 The inverse problem of inferring electrocardiogram (ECG) from photoplethysmogram (PPG) is an emerging research direction that combines the easy measurability of PPG and the rich clinical knowledge of ECG for long-term continuous cardiac monitoring. The prior art for reconstruction using a universal basis has limited fidelity for uncommon ECG waveform ...
arxiv +1 more source
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis [PDF]
arXiv, 2022 Electrocardiogram (ECG) data collection during emergency situations is challenging, making ECG data generation an efficient solution for dealing with highly imbalanced ECG training datasets. In this paper, we propose a novel approach for ECG signal generation using Generative Adversarial Networks (GANs) and statistical ECG data modeling.
arxiv
Automatic Detection of Arrhythmia Based on Multi-Resolution Representation of ECG Signal
Sensors, 2020 Automatic detection of arrhythmia is of great significance for early prevention and diagnosis of cardiovascular disease. Traditional feature engineering methods based on expert knowledge lack multidimensional and multi-view information abstraction and ...
Dongqi Wang +4 more
doaj +1 more source
Journal of Education and Teaching in Emergency Medicine, 2016 History of present illness: A 34-year-old diabetic female presented to the emergency department with chest pain status-post AICD firing. She described the pain as a “12 out of 10” which woke her from sleep at 0200, one hour prior to arrival. Vitals were unremarkable. She had no known history of renal failure. Due to frequent ED visits for chronic pain,
openaire +4 more sources
ABC: časopis urgentne medicine, 2021 Eponyms are widely represented in technical, social and natural sciences. Electrocardiography terms, named after the researcher who first described them, have not been summarized in one place until now. Wellens syndrome (Henrick Joan Joost Wellens, Dutch
Uzelac Bojana +3 more
doaj +1 more source
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices [PDF]
IEEE journal of biomedical and health informatics, 2018 Objective: A novel electrocardiogram (ECG) classification algorithm is proposed for continuous cardiac monitoring on wearable devices with limited processing capacity.
Saeed Saadatnejad +2 more
semanticscholar +1 more source
Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management
IEEE Access, 2021 Electrocardiogram (ECG) is sensitive to autonomic dysfunction and cardiac complications derived from ischemic or hemorrhage stroke and is supposed to be a potential prognostic tool in stroke identification and post-stroke treatment.
I. Hussain, Se Jin Park
semanticscholar +1 more source