Results 41 to 50 of about 29,766 (248)

Assistive diagnostic technology for congenital heart disease based on fusion features and deep learning

open access: yesFrontiers in Physiology, 2023
Introduction: Congenital heart disease (CHD) is a cardiovascular disorder caused by structural defects in the heart. Early screening holds significant importance for the effective treatment of this condition.
Yuanlin Wang   +4 more
doaj   +1 more source

An automatic segmentation method for heart sounds

open access: yesBioMedical Engineering OnLine, 2018
Background There are two major challenges in automated heart sound analysis: segmentation and classification. An efficient segmentation is capable of providing valuable diagnostic information of patients.
Qingshu Liu, Xiaomei Wu, Xiaojing Ma
doaj   +1 more source

Heart Sound Classification Based on Temporal Alignment Techniques [PDF]

open access: yes2016 Computing in Cardiology Conference (CinC), 2016
The ability to accurately stratify patients at risk of adverse cardiovascular outcomes using heart sound recordings could result in earlier treatment and improved patient outcomes. However, there remain several challenges associated with risk stratifying patients based on the phono-cardiogram (PCG) alone.
Jose Javier Gonzalez Ortiz   +2 more
openaire   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

Heart sound classification based on bispectrum features and Vision Transformer mode

open access: yesAlexandria Engineering Journal, 2023
In regions with limited resources and moderate incomes, the relentless spectre of cardiovascular diseases (CVDs) continues to loom large. Amidst this challenge, the precise classification of heart sounds is emerging as a pivotal linchpin in the realm of ...
Zeye Liu   +5 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Shaping Matter with Acoustic Waves: From Particles to Functional Structures

open access: yesAdvanced Functional Materials, EarlyView.
Acoustic‐directed assembly is reviewed as a materials‐oriented strategy for organizing particles, polymers, metals, and biological systems into functional structures. The review distinguishes reversible manipulation from permanent structure formation through medium fixation, particle fixation, and in situ material generation, highlighting routes toward
Avraham Kenigsberg   +5 more
wiley   +1 more source

Heart sound classification using signal processing and machine learning algorithms

open access: yesMachine Learning with Applications, 2022
According to global statistics and the world health organization (WHO), about 17.5 million people die each year from cardiovascular disease. In this paper, the heart sounds gathered by a stethoscope are analyzed to diagnose several diseases caused by ...
Yasser Zeinali   +1 more
doaj   +1 more source

Exploring Composite Dataset Biases for Heart Sound Classification. [PDF]

open access: yesCEUR Workshop Proceedings, 2020
In the last few years, the automatic classification of heart sounds has been widely studied as a screening method for heart disease. Some of these studies have achieved high accuracies in heart abnormality prediction. However, for such models to assist clinicians in the detection of heart abnormalities, it is of critical importance that they are ...
Shariat Panah, Davoud   +2 more
openaire   +2 more sources

A Systematic Study of GelMA‐Carbopol Bioinks for High‐Fidelity Extrusion 3D Bioprinting at Physiological Temperatures

open access: yesAdvanced Healthcare Materials, EarlyView.
Gonzalez Martinez and collaborators develop a strategy to formulate high performance GelMA‐based bioinks with low solids contents. The resulting bioinks enable 3D bioprinting at 37 °C of high‐fidelity structures with tunable mechanical properties that support high cell viability and function.
David A. González‐Martínez   +8 more
wiley   +1 more source

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