Deep learning models-based CT-scan image classification for automated screening of COVID-19
COVID-19 is the most transmissible disease, caused by the SARS-CoV-2 virus that severely
infects the lungs and the upper respiratory tract of the human body. This virus badly affected …
infects the lungs and the upper respiratory tract of the human body. This virus badly affected …
Systematic review of automated sleep apnea detection based on physiological signal data using deep learning algorithm: a meta-analysis approach
PK Tyagi, D Agarwal - Biomedical Engineering Letters, 2023 - Springer
Sleep apnea (SLA) is a respiratory-related sleep disorder that affects a major proportion of
the population. The gold standard in sleep testing, polysomnography, is costly, inconvenient …
the population. The gold standard in sleep testing, polysomnography, is costly, inconvenient …
Hyp-Net: Automated detection of hypertension using deep convolutional neural network and Gabor transform techniques with ballistocardiogram signals
Hypertension (HPT) is a physiological abnormality characterized by high blood pressure,
headache, wooziness, and fainting that may lead to various heart, kidney, or brain diseases …
headache, wooziness, and fainting that may lead to various heart, kidney, or brain diseases …
Automatic snoring detection using a hybrid 1D–2D convolutional neural network
R Li, W Li, K Yue, R Zhang, Y Li - Scientific Reports, 2023 - nature.com
Snoring, as a prevalent symptom, seriously interferes with life quality of patients with sleep
disordered breathing only (simple snorers), patients with obstructive sleep apnea (OSA) and …
disordered breathing only (simple snorers), patients with obstructive sleep apnea (OSA) and …
A support system for automatic classification of hypertension using BCG signals
Hypertension (HPT) is a lethal medical disorder in which the blood vessels unusually have
high pressure for an extended period. It may raise the risk of various health complications …
high pressure for an extended period. It may raise the risk of various health complications …
Integrated s-transform-based learning system for detection of arrhythmic fetus
Measurement of abnormal heartbeat rhythm of a fetus to detect arrhythmia using fetal-
electrocardiogram (f-ECG) signals is one of the most convenient methods, used to quickly …
electrocardiogram (f-ECG) signals is one of the most convenient methods, used to quickly …
Feature extraction and classification of time-varying power load characteristics based on PCANet and CNN+ Bi-LSTM algorithms
S Bian, Z Wang, W Song, X Zhou - Electric Power Systems Research, 2023 - Elsevier
The feature extraction and classification of power load characteristics are vital for time-
varying load modeling. However, due to the influence of the season variation, the existing …
varying load modeling. However, due to the influence of the season variation, the existing …
An improved deep learning model for automated detection of BBB using ST spectrograms of smoothed VCG signal
Objective: Bundle Branch Block (BBB) is the most serious asymptomatic, cardiovascular
complication caused due to obstruction or delay across the pathways of electrical signals …
complication caused due to obstruction or delay across the pathways of electrical signals …
INSOMNet: Automated insomnia detection using scalogram and deep neural networks with ECG signals
Sleep is a natural state of rest for the body and mind. It is essential for a human's physical
and mental health because it helps the body restore itself. Insomnia is a sleep disorder that …
and mental health because it helps the body restore itself. Insomnia is a sleep disorder that …
A robust framework for automated screening of diabetic patient using ecg signals
Diabetes mellitus (DM) or diabetes is an incurable, chronic, and genetic link health problem
that occurs due to the higher glucose level in the blood. Continuous monitoring and …
that occurs due to the higher glucose level in the blood. Continuous monitoring and …