Results 51 to 60 of about 203,582 (316)
Frontiers in Physiology, 2020 BackgroundThere is still an urgent clinical need to develop non-invasive diagnostic tests for early ischemic heart disease because, once angina occurs, it is too late. Hypocapnia has long been known to cause coronary artery vasoconstriction.
Michael J. Parkes +10 more
doaj +1 more source
Data Augmentation for Electrocardiogram Classification with Deep Neural Network [PDF]
arXiv, 2020 Electrocardiogram (ECG) is the most crucial monitoring modality to diagnose cardiovascular events. Precise and automatic detection of abnormal ECG patterns is beneficial to both physicians and patients. In the automatic detection of abnormal ECG patterns, deep neural networks (DNNs) have shown significant achievements.
arxiv
Advanced Materials, EarlyView.This article summarizes significant technological advancements in materials, photonic devices, and bio‐interfaced systems, which demonstrate successful applications for impacting human healthcare via improved therapies, advanced diagnostics, and on‐skin health monitoring.
Seunghyeb Ban +5 more
wiley +1 more source
Annals of Noninvasive ElectrocardiologyThis article describes a 44‐year‐old female with Fabry disease presenting with a 7‐year history of chest discomfort, extremity pain, and hypohidrosis.
Jing‐Xiu Li +5 more
doaj +1 more source
Frontiers in PediatricsAimHandgrip strength (HGS), a measure of muscle strength, has been reported to be associated with the risk of hypertension in adults. This study intended to assess the relationship of relative HGS (rHGS) and HGS asymmetry ratio with elevated blood ...
Huanhuan Li, Hongmei Gu
doaj +1 more source
Problems of representation of electrocardiograms in convolutional neural networks [PDF]
arXiv, 2020 Using electrocardiograms as an example, we demonstrate the characteristic problems that arise when modeling one-dimensional signals containing inaccurate repeating pattern by means of standard convolutional networks. We show that these problems are systemic in nature.
arxiv
Advanced Materials, EarlyView.This review explores the integration of responsive materials and soft robotic actuators with implantable electronics to address key challenges in bioelectronic medicine. By enabling shape actuation, these technologies improve deployment, adaptability, and accuracy in minimally invasive procedures.
Chaoqun Dong, George G. Malliaras
wiley +1 more source
Open-source software for generating electrocardiogram signals [PDF]
arXiv, 2004 ECGSYN, a dynamical model that faithfully reproduces the main features of the human electrocardiogram (ECG), including heart rate variability, RR intervals and QT intervals is presented. Details of the underlying algorithm and an open-source software implementation in Matlab, C and Java are described.
arxiv
Probabilistic learning of the Purkinje network from the electrocardiogram [PDF]
arXiv, 2023 The identification of the Purkinje conduction system in the heart is a challenging task, yet essential for a correct definition of cardiac digital twins for precision cardiology. Here, we propose a probabilistic approach for identifying the Purkinje network from non-invasive clinical data such as the standard electrocardiogram (ECG).
arxiv
Cardiac Organoid Model Inspired Micro‐Robot Smart Patch to Treat Myocardial Infarction
Advanced Materials, EarlyView.The heart organoid model exhibits the acidic microenvironment characteristic of myocardial infarction, which emerges as a pivotal force propelling the movement of micro‐robots. These micro‐robots, administered through microneedles, can penetrate deep into the tissue, effectively delivering therapeutic payloads to facilitate heart repair.
Fangfang Wang +12 more
wiley +1 more source