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Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022
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 …
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
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 …
applications. They capture dynamic system measurements and are produced in vast …
A comprehensive survey on heart sound analysis in the deep learning era
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …
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
Heart-sound auscultation is one of the most widely used approaches for detecting
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …
Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Brain disorders pose a substantial global health challenge, persisting as a leading cause of
mortality worldwide. Electroencephalogram (EEG) analysis is crucial for diagnosing brain …
mortality worldwide. Electroencephalogram (EEG) analysis is crucial for diagnosing brain …
Explainable deep convolutional neural network for valvular heart diseases classification using pcg signals
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 …
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 …
cardiovascular and respiratory diseases. Such sensors are currently limited by either the …
Deep CardioSound-An Ensembled Deep Learning Model for Heart Sound MultiLabelling
Heart sound diagnosis and classification play an essential role in detecting cardiovascular
disorders, especially when the remote diagnosis becomes standard clinical practice. Most of …
disorders, especially when the remote diagnosis becomes standard clinical practice. Most of …
Transformers in biosignal analysis: A review
Transformer architectures have become increasingly popular in healthcare applications.
Through outstanding performance in natural language processing and superior capability to …
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
Characterising the highly variable temporal dynamics of landscape-scale fire activity is best
achieved using geostationary satellites, and the Himawari-8 Advanced Himawari Imager …
achieved using geostationary satellites, and the Himawari-8 Advanced Himawari Imager …