Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022

MA Reyna, Y Kiarashi, A Elola, J Oliveira… - PLOS Digital …, 2023 - journals.plos.org
Cardiac auscultation is an accessible diagnostic screening tool that can help to identify
patients with heart murmurs, who may need follow-up diagnostic screening and treatment for …

Large models for time series and spatio-temporal data: A survey and outlook

M Jin, Q Wen, Y Liang, C Zhang, S Xue, X Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Temporal data, notably time series and spatio-temporal data, are prevalent in real-world
applications. They capture dynamic system measurements and are produced in vast …

A comprehensive survey on heart sound analysis in the deep learning era

Z Ren, Y Chang, TT Nguyen, Y Tan… - IEEE Computational …, 2024 - ieeexplore.ieee.org
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …

Deep CardioSound-An Ensembled Deep Learning Model for Heart Sound MultiLabelling

L Guo, S Davenport, Y Peng - arXiv preprint arXiv:2204.07420, 2022 - arxiv.org
Heart sound diagnosis and classification play an essential role in detecting cardiovascular
disorders, especially when the remote diagnosis becomes standard clinical practice. Most of …

An optimal approach for heart sound classification using grid search in hyperparameter optimization of machine learning

YN Fuadah, MA Pramudito, KM Lim - Bioengineering, 2022 - mdpi.com
Heart-sound auscultation is one of the most widely used approaches for detecting
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …

Explainable deep convolutional neural network for valvular heart diseases classification using pcg signals

A Bhardwaj, S Singh, D Joshi - IEEE transactions on …, 2023 - ieeexplore.ieee.org
The heart sounds recorded through a phonocardiogram (PCG) can assist in the early
detection of valvular heart diseases (VHD), which is important for minimizing the chances of …

Low‐Intensity Sensitive and High Stability Flexible Heart Sound Sensor Enabled by Hybrid Near‐Field/Far‐Field Electrospinning

Y Li, Y Huang, N Zhao - Advanced Functional Materials, 2023 - Wiley Online Library
Low‐cost and wearable heart sound sensors can facilitate early detection and monitoring of
cardiovascular and respiratory diseases. Such sensors are currently limited by either the …

[HTML][HTML] Major advances in geostationary fire radiative power (FRP) retrieval over Asia and Australia stemming from use of Himarawi-8 AHI

W Xu, MJ Wooster, T Kaneko, J He, T Zhang… - Remote Sensing of …, 2017 - Elsevier
Characterising the highly variable temporal dynamics of landscape-scale fire activity is best
achieved using geostationary satellites, and the Himawari-8 Advanced Himawari Imager …

Artificial intelligence and pediatrics: synthetic knowledge synthesis

J Završnik, P Kokol, B Žlahtič, H Blažun Vošner - Electronics, 2024 - mdpi.com
The first publication on the use of artificial intelligence (AI) in pediatrics dates back to 1984.
Since then, research on AI in pediatrics has become much more popular, and the number of …

An open-access simultaneous electrocardiogram and phonocardiogram database

A Kazemnejad, S Karimi, P Gordany… - Physiological …, 2024 - iopscience.iop.org
Objective. The EPHNOGRAM project aimed to develop a low-cost, low-power device for
simultaneous electrocardiogram (ECG) and phonocardiogram (PCG) recording, with …