Deep learning for medical anomaly detection–a survey
Machine learning–based medical anomaly detection is an important problem that has been
extensively studied. Numerous approaches have been proposed across various medical …
extensively studied. Numerous approaches have been proposed across various medical …
[HTML][HTML] Deep learning methods for heart sounds classification: A systematic review
The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
An efficient and robust phonocardiography (pcg)-based valvular heart diseases (vhd) detection framework using vision transformer (vit)
Background and objectives: Valvular heart diseases (VHDs) are one of the dominant causes
of cardiovascular abnormalities that have been associated with high mortality rates globally …
of cardiovascular abnormalities that have been associated with high mortality rates globally …
Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
Valvular heart diseases (VHD) are one of the major causes of cardiovascular diseases that
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …
Classification of heart sound signals using a novel deep WaveNet model
Background and objectives The high mortality rate and increasing prevalence of heart valve
diseases globally warrant the need for rapid and accurate diagnosis of such diseases …
diseases globally warrant the need for rapid and accurate diagnosis of such diseases …
Time–frequency-domain deep learning framework for the automated detection of heart valve disorders using PCG signals
The damage to the heart valves causes heart valve disorders (HVDs). The detection of
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
HVDs is crucial in a clinical study as these diseases may cause congestive heart failure …
Heart sound classification using deep learning techniques based on log-mel spectrogram
In this study, two models for classifying heart rate sounds are proposed to classify heart
sound by deep learning techniques based on the log-mel spectrogram of heart sound …
sound by deep learning techniques based on the log-mel spectrogram of heart sound …
Remaining useful life prediction for proton exchange membrane fuel cells using combined convolutional neural network and recurrent neural network
The search for sustainable but environmentally friendly medium of harnessing energy for the
automotive industry has led to the evolution of various energy generating and converting …
automotive industry has led to the evolution of various energy generating and converting …
Impacts of data preprocessing and selection on energy consumption prediction model of HVAC systems based on deep learning
Accurate energy consumption prediction is the basis of predictive control for heating,
ventilation and air conditioning (HVAC) systems. Data-driven models are widely used for …
ventilation and air conditioning (HVAC) systems. Data-driven models are widely used for …
A review of computer‐aided heart sound detection techniques
S Li, F Li, S Tang, W **ong - BioMed research international, 2020 - Wiley Online Library
Cardiovascular diseases have become one of the most prevalent threats to human health
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …
throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection …