Results 101 to 110 of about 678,002 (383)
Advanced Healthcare Materials, Volume 14, Issue 10, April 15, 2025.Graphene‐based materials are attracting considerable interest for biomedical applications. Analysis of their biocompatibility is required before their clinical translation, and swine represents an excellent close‐to‐human model. This study evaluates the toxicological and immunological impact of pristine graphene and graphene oxide through a compendium ...
Paola Nicolussi +26 more
wiley +1 more source
Bayesian ECG reconstruction using denoising diffusion generative models [PDF]
arXiv, 2023 In this work, we propose a denoising diffusion generative model (DDGM) trained with healthy electrocardiogram (ECG) data that focuses on ECG morphology and inter-lead dependence. Our results show that this innovative generative model can successfully generate realistic ECG signals.
arxiv
Advanced Healthcare Materials, EarlyView.Biomimetic glycosaminoglycan analog hydrogels exhibit suitable and robust mechanical properties, as well as hemocompatibility and biocompatibility, making them ideal for the embolization of intracranial aneurysms. Notably, the hydrogel's environment‐selective swelling properties enable complete blockage of the aneurysm cavity while preventing ...
Sarit S. Sivan +8 more
wiley +1 more source
International Journal of Gerontology, 2018 Summary: Background: We investigated how to define the culprit coronary artery according to different reciprocal ST-segment depression (R-ST-D) types on electrocardiograms in ST-segment elevation acute myocardial infarction (STEMI), as well as the high ...
Chunyu Wang +3 more
doaj
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
Electrocardio Panorama: Synthesizing New ECG Views with Self-supervision [PDF]
the 30th International Joint Conference on Artificial Intelligence
(2021), 2021 Multi-lead electrocardiogram (ECG) provides clinical information of heartbeats from several fixed viewpoints determined by the lead positioning. However, it is often not satisfactory to visualize ECG signals in these fixed and limited views, as some clinically useful information is represented only from a few specific ECG viewpoints. For the first time,
arxiv
Advanced Healthcare Materials, EarlyView.Highly sprouting organoid‐like neurovascular spheroids (NVUs) are developed, featuring cell‐loaded poly‐3‐hydroxybutyrate 4‐hydroxybutyrate(P34HB) porous microsphere cores embedded within Gelatin Methacryloyl. NVUs formed complex vascular plexuses and secreted extracellular matrix in vitro, simulating autologous nerves and blood interaction.
Junjin Jie +5 more
wiley +1 more source
An ECG-SoC with 535nW/channel lossless data compression for wearable sensors [PDF]
arXiv, 2014 This paper presents a low power ECG recording Sys-tem-on-Chip (SoC) with on-chip low complexity lossless ECG compression for data reduction in wireless/ambulatory ECG sensor devices. The proposed algorithm uses a linear slope predictor to estimate the ECG samples, and uses a novel low complexity dynamic coding-packaging scheme to frame the resulting ...
arxiv
A Simple Self-Supervised ECG Representation Learning Method via Manipulated Temporal-Spatial Reverse Detection [PDF]
arXiv, 2022 Learning representations from electrocardiogram (ECG) signals can serve as a fundamental step for different machine learning-based ECG tasks. In order to extract general ECG representations that can be adapted to various downstream tasks, the learning process needs to be based on a general ECG-related task which can be achieved through self-supervised ...
arxiv
Brugada-type ECG associated with pectus excavatum [PDF]
, 2015 Brugada phenocopies (BrP) are new clinical entities characterized by an ECG pattern that is identical to type 1 or type 2 Brugada pattern, despite the absence of the true congenital Brugada syndrome (BrS).
Ghazali, Aiham +3 more
core +1 more source