Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features
MB Er - Applied Acoustics, 2021 - Elsevier
Cardiovascular diseases are one of those diseases which should be considered to be
serious health threats for humans since today it is seen that majority of deaths are caused by …
serious health threats for humans since today it is seen that majority of deaths are caused by …
A two-stage classification model integrating feature fusion for coronary artery disease detection and classification
Abstract According to the World Health Organization, Coronary Artery Disease (CAD) is a
leading cause of death globally. CAD is categorized into three types, namely Single Vessel …
leading cause of death globally. CAD is categorized into three types, namely Single Vessel …
Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns
Abstract Coronary Artery Diseases (CADs) are a dominant cause of worldwide fatalities. The
development of accurate and timely diagnosis routines is imperative to reduce these risks …
development of accurate and timely diagnosis routines is imperative to reduce these risks …
[HTML][HTML] Experimental exploration of multilevel human pain assessment using blood volume pulse (bvp) signals
Critically ill patients often lack cognitive or communicative functions, making it challenging to
assess their pain levels using self-reporting mechanisms. There is an urgent need for an …
assess their pain levels using self-reporting mechanisms. There is an urgent need for an …
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns
Cardiac disorders cause a large number of human mortalities every year. This raises a
sheer need for an early and accurate diagnosis of cardiac disorders to provide early …
sheer need for an early and accurate diagnosis of cardiac disorders to provide early …
A novel embedded system design for the detection and classification of cardiac disorders
Phonocardiogram (PCG) signals hold significant prognostic and diagnostic information
about cardiac health. Numerous PCG or heart sound based automated detection algorithms …
about cardiac health. Numerous PCG or heart sound based automated detection algorithms …
Machine learning‐based classification of multiple heart disorders from PCG signals
Timely and accurate detection and diagnosis of heart disorders is a significant problem in
the medical community since the mortality rate is increasing. Pulsing of cardiac structures …
the medical community since the mortality rate is increasing. Pulsing of cardiac structures …
Pulse plethysmograph signal analysis method for classification of heart diseases using novel local spectral ternary patterns
Cardiac disorders are one of the prime reasons for an increasing global death rate. Reliable
and efficient diagnosis procedures are imperative to minimize the risk posed by heart …
and efficient diagnosis procedures are imperative to minimize the risk posed by heart …
An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences
B Das - Chemometrics and Intelligent Laboratory Systems, 2022 - Elsevier
Although some people do not have any chronic disease or are not in the risky age group for
Covid-19, they are more vulnerable to the coronavirus. As the reason for this situation, some …
Covid-19, they are more vulnerable to the coronavirus. As the reason for this situation, some …
XPQRS: Expert power quality recognition system for sensitive load applications
Power Quality (PQ) disturbances of a few milliseconds duration may lead to malfunctioning
the sensitive devices connected to the network. This necessitates detecting these PQ …
the sensitive devices connected to the network. This necessitates detecting these PQ …