Results 61 to 70 of about 108,032 (305)
Deep Attention-based Representation Learning for Heart Sound Classification [PDF]
arXiv, 2021 Cardiovascular diseases are the leading cause of deaths and severely threaten human health in daily life. On the one hand, there have been dramatically increasing demands from both the clinical practice and the smart home application for monitoring the heart status of subjects suffering from chronic cardiovascular diseases.
arxiv
Engineering Triboelectric Paper for Energy Harvesting and Smart Sensing
Advanced Materials, EarlyView.Engineering nano‐graphite coated paper (NG@P) is produced to serve as triboelectric layers and electrodes for TENGs. Ultra‐high power density above 14 kW m−2 is achieved due to the electrostatic discharge on the surface. Moreover, smart home sensors are fabricated using the NG@P for motion sensing and sleep monitoring, which could be used for security ...
Renyun Zhang +8 more
wiley +1 more source
Small Steps in Impacting Clinical Auscultation of Medical Students
Global Pediatric Health, 2016 The objective of this study was to determine if a training module improves the auscultation skills of medical students at the University of Maryland School of Medicine.
Edem K. Binka MD +2 more
doaj +1 more source
AIP Advances, 2022 Mixed heart sounds include heart sounds in a state of resting and motion. The analysis of heart sound signals in a state of motion is a difficult problem.
Chen-Jun She, Xie-Feng Cheng
doaj +1 more source
Feasibility of Heart Sound Analysis in Individuals Supported with Left Ventricular Assist Devices [PDF]
arXiv, 2020 Left ventricular assist devices (LVADs) are surgically implanted mechanical pumps that improve survival rates for individuals with advanced heart failure. While life-saving, LVAD therapy is also associated with high morbidity, which can be partially attributed to the difficulties in identifying an LVAD complication before an adverse event occurs ...
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
Deep CardioSound-An Ensembled Deep Learning Model for Heart Sound MultiLabelling [PDF]
arXiv, 2022 Heart sound diagnosis and classification play an essential role in detecting cardiovascular disorders, especially when the remote diagnosis becomes standard clinical practice. Most of the current work is designed for single category based heard sound classification tasks. To further extend the landscape of the automatic heart sound diagnosis landscape,
arxiv
Advanced Materials, EarlyView.Biomechanical‐to‐electrical energy conversion devices are uniquely suited for self‐driven physiological information monitoring and powering human–computer interaction systems. These devices based on micro‐/nanoarchitectured inorganic dielectric materials (MNIDMs) have shown ultrahigh electromechanical performance and thus great potential for practical ...
Jia‐Han Zhang +12 more
wiley +1 more source
BioMedical Engineering OnLine, 2011 Background During the cardiac cycle, the heart normally produces repeatable physiological sounds. However, under pathologic conditions, such as with heart valve stenosis or a ventricular septal defect, blood flow turbulence leads to the production of ...
Ali Akbari Mohammad +6 more
doaj +1 more source
Materials Advances in Devices for Heart Disease Interventions
Advanced Materials, EarlyView.This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra +11 more
wiley +1 more source