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 **, 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 …

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 …

Exploring new horizons in neuroscience disease detection through innovative visual signal analysis

NS Amer, SB Belhaouari - Scientific Reports, 2024 - nature.com
Brain disorders pose a substantial global health challenge, persisting as a leading cause of
mortality worldwide. Electroencephalogram (EEG) analysis is crucial for diagnosing brain …

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 …

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 …

Transformers in biosignal analysis: A review

A Anwar, Y Khalifa, JL Coyle, E Sejdic - Information Fusion, 2024 - Elsevier
Transformer architectures have become increasingly popular in healthcare applications.
Through outstanding performance in natural language processing and superior capability to …

[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 …