Results 91 to 100 of about 4,885 (281)
A review on deep learning methods for heart sound signal analysis
Frontiers in Artificial IntelligenceIntroductionApplication of Deep Learning (DL) methods is being increasingly appreciated by researchers from the biomedical engineering domain in which heart sound analysis is an important topic of study.
Elaheh Partovi +3 more
doaj +1 more source
Segmentation and feature extraction of heart murmurs in newborns
, 2013 Heart murmurs are typically detected in newborns, in many cases due to the patent ductus arteriosus condition. Hence, providing an automatic tool for heart sound analysis can be helpful to physicians in the diagnosis of heart murmurs in newborns. In this
AMIRI, AMIR MOHAMMAD, ARMANO, GIULIANO
core +1 more source
Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations
Advanced Electronic Materials, EarlyView.This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka +5 more
wiley +1 more source
Heart sound segmentation using signal processing methods
, 2015 Cataloged from PDF version of article.Heart murmurs are pathological heart sounds that originate from blood flowing with abnormal turbulence due to physiological defects of the heart, and are the prime indicator of many heart-related diseases.
Şahin, Devrim
core
The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry
Agribusiness, EarlyView.ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley +1 more source
, 2018 Cardiovascular disease is the leading cause of deaths globally. Despite having rapid medical technology advancements, the number of deaths related to cardiovascular disease has also increased over the years.
Peh, Qian Hui
core
Segmentation-free Heart Pathology Detection Using Deep Learning.
, 2021 Cardiovascular (CV) diseases are the leading cause of death in the world, and auscultation is typically an essential part of a cardiovascular examination. The ability to diagnose a patient based on their heart sounds is a rather difficult skill to master.
core +1 more source
Exploring the Impact of Meat Alternative Labeling Regulations on the U.S. Meat Consumption Patterns
Agribusiness, EarlyView.ABSTRACT The global demand for conventional meat continues to rise, but it is also associated with substantial environmental and health challenges. In response, meat alternatives have gained popularity, sparking debates over meat alternative labeling regulations. This study investigates the effects of meat alternative labeling regulations in the United
Jeong Hun Ji, Sang Hyeon Lee
wiley +1 more source
Detection and Classification of Abnormities of First Heart Sound Using Empirical Wavelet Transform
IEEE Access, 2019 It is expected that an automatic detection and classification algorithm for the abnormities of first heart sound (S1) can realize computer artificial intelligence diagnosis of some relative cardiovascular disease.
Haixia Li +5 more
doaj +1 more source
Review of sensors for remote patient monitoring
, 2008 Remote patient monitoring (RPM) of physiological measurements can provide an efficient method and high quality care to patients. The physiological signals measurement is the initial and the most important factor in RPM.
Sahandi, Reza, Liu, Yuanlong
core