Results 111 to 120 of about 282,764 (294)

Multifocal atrial arrhythmia—A frequent misdiagnosis? A correlative study using the computerized ECG [PDF]

, 1992
Philip Varriale, William David, Basil E. Chryssos   +2 more
openalex   +1 more source

Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks

, 2022
A Hasitha Kuruwita, Ng Shu Kay, Alan Wee‐Chung Liew, Brent Richards, Kelvin Ross, Kuldeep Kumar, Luke J. Haseler, Meghan McConnell, Ping Zhang   +8 more
openalex   +2 more sources

Multifunctional E‐Tattoos Based on Electrospun PVBVA Fibers Coated with Ti3C2Tx MXene for Energy Harvesting, Energy Storage, and Biometric Sensing

Advanced Science, EarlyView.
This study explores a novel E‐tattoo made from PVBVA fibers coated with Ti3C2Tx MXene. The device is designed to harvest energy directly from the human body, providing power for itself. The research demonstrates the E‐tattoo's capability for charge storage and its potential for health monitoring through integrated ECG and EMG sensing, all within a ...
Ajay Pratap, Fereshteh Rajabi Kouchi, Tony Valayil‐Varghese, Hailey Burgoyne, Attila Rektor, Michael Curtis, Miranda Lea Nelson, Francis N. Mokogwu, Corey M. Efaw, Josh Eixenberger, Allyssa Bateman, Benjamin C. Johnson, Brian Jaques, Zhangxian Deng, Kurtis Cantley, Christopher E. Shuck, David Estrada   +16 more
wiley   +1 more source

Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring

Advanced Science, EarlyView.
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley   +1 more source

Theoretical and experimental rate distortion performance in compression of ambulatory ECGs [PDF]

, 1991
P.S. Hamilton, W.J. Tompkins
openalex   +1 more source

EGaIn‐Activated Bioinspired Silk Micro/Nanofibril Eutectogels Breaking the Strength–Conductivity Trade‐Off for High‐Performance Wearable Bioelectronics

Advanced Science, EarlyView.
Inspired by the extracellular matrix, eutectogels are prepared by in situ deconstruction of silk fibroin into micro/nanofibrils and EGaIn‐induced polymerization. The multiscale fibril network with dynamic crosslinking achieves high strength (1.25 MPa), toughness (23.09 MJ m−3), and conductivity (1.51 S m−1), outperforming previous natural polymer ...
Haiwei Yang, Dongdong Ye, Yezi You, Ming Fu, Zongqian Wang   +4 more
wiley   +1 more source

Atrial fibrillation observed on surface ECG can be atrial flutter or atrial tachycardia

, 2018
Elyar Ghafoori, Nathan Angel, Derek J. Dosdall, Rob MacLeod, Ravi Ranjan   +4 more
openalex   +2 more sources

The fusion band in V1: a simple ECG guide to optimal resynchronization? An echocardiographic case report [PDF]

, 2005
Lorella Gianfranchi, Katia Bettiol, Federico Pacchioni, G. Corbucci, Paoló Alboni   +4 more
openalex   +1 more source

Remote Activation of Spinal TRPV1 by Magnetic Nanocubes Confers Cardioprotection Against Myocardial Ischemia‐Reperfusion Injury

Advanced Science, EarlyView.
Fe‐based magnetic nanocubes conjugated with TRPV1 antibodies (FeNCs‐TRPV1) are developed for the specific targeting of TRPV1 channels. Intraspinally injected FeNCs‐TRPV1 induces TRPV1 desensitization in rats exposed to repetitive and transient ACMF.
Xueying Cheng, Shuangyu Liu, Yu Zhang, Kang Peng, Muge Qile, Chao Wu, Mengyun Dou, Liu Liu, Na Yang, Rui Liu, Guiyang Zhang, Liangping Ni, Gaolin Liang, Fang Yang, Ye Zhang, Shufang He   +15 more
wiley   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

Advanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin, Jovanne Palvair, Lennie Messager, Jamal Bamoulid, Jasper Callemeyn, Mélanie Chaintreuil, Ludivine Dal Zuffo, Didier Ducloux, Imane Farhat, Mathieu Legendre, Laurent Martin, Florian Renosi, Xavier Roussel, Thibaut Vaulet, Maarten Naesens, Claire Tinel, Baptiste Lamarthée   +16 more
wiley   +1 more source