Results 51 to 60 of about 169,837 (295)
Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker +9 more
wiley +1 more source
Electrocardiogram (ECG/EKG) using FPGA [PDF]
, 2012 FPGAs (Field Programmable Gate Arrays) are finding wide acceptance in medical systems for their ability for rapid prototyping of a concept that requires hardware/software co-design, for performing custom processing in parallel at high data rates and be ...
Desai, Vaibhav
core +1 more source
Arthritis Care &Research, EarlyView.Objective We investigated whether a diagnosis of rheumatoid arthritis (RA) affects the quality of inpatient acute myocardial infarction (AMI) care and long‐term mortality post‐AMI. Methods We analyzed data from 784,091 adults, 6,047 with a diagnosis of RA, from England and Wales hospitalized with AMI between 2005 and 2019 from the Myocardial Ischaemia ...
Megan Butler +8 more
wiley +1 more source
Origins of ECG and Evolution of Automated DSP Techniques: A Review
IEEE Access, 2021 Over the years, researchers have studied the evolution of Electrocardiogram (ECG) and the complex classification of cardiovascular diseases. This review focuses on the evolution of the ECG and covers the most recent signal processing schemes with ...
Neha Arora, Biswajit Mishra
doaj +1 more source
Cardiac Memory-induced T-wave Inversions [PDF]
, 2020 Introduction: Cardiac memory refers to T-wave inversions that result when normal ventricular activation resumes following a period of abnormal ventricular activation.Case Report: We present a case of a 29-year-old man with a pacemaker who presented with ...
Cooper, Benjamin L. +2 more
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Advanced Functional Materials, EarlyView.Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter +8 more
wiley +1 more source
Image based deep learning in 12-lead ECG diagnosis
Frontiers in Artificial Intelligence, 2023 BackgroundThe electrocardiogram is an integral tool in the diagnosis of cardiovascular disease. Most studies on machine learning classification of electrocardiogram (ECG) diagnoses focus on processing raw signal data rather than ECG images. This presents
Raymond Ao, George He, George He
doaj +1 more source
Advanced Functional Materials, EarlyView.By mimicking the ion‐accelerating effect of ion channel receptors in neuron membranes, a biomaterials‐based ionic hydrogel (BIH) is developed, which offers a high ionic conductivity of 7.04 S m−1, outperforming conventional chitosan, cellulose, agarose, starch, and gelatin based ionic hydrogels.
Baojin Chen +7 more
wiley +1 more source
IoT: Electrocardiogram (ECG) Monitoring System
Indonesian Journal of Electrical Engineering and Computer Science, 2018 Internet of Things (IoT) has many applications in the medical field. With remote-information gathering, healthcare professionals can evaluate, diagnose and treat patients in remote locations using telecommunications technology. This study aimed to develop a small-scale electrocardiogram (ECG) monitoring device that will measure heart rates and ...
Kristine Joyce P. Ortiz +3 more
openaire +2 more sources
Interpretable ECG beat embedding using disentangled variational auto-encoders [PDF]
, 2019 Electrocardiogram signals are often used in medicine. An important aspect of analyzing this data is identifying and classifying the type of beat. This classification is often done through an automated algorithm. Recent advancements in neural networks and
Deschrijver, Dirk +2 more
core +1 more source