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 …
A critical review of heart sound signal segmentation algorithms
This paper discusses four heart sound segmentation (HSS) methods: Wavelet transform,
Fractal decomposition, Hilbert Transform, and Shannon Energy Envelogram, in order to …
Fractal decomposition, Hilbert Transform, and Shannon Energy Envelogram, in order to …
An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope sounds
Background and purpose Valvular heart disease (VHD) is an important cause of morbidity
and mortality. Echocardiography is the reference standard for VHD diagnosis but is not …
and mortality. Echocardiography is the reference standard for VHD diagnosis but is not …
[PDF][PDF] Robust cepstral feature for bird sound classification
Birds are excellent environmental indicators and may indicate sustainability of the
ecosystem; birds may be used to provide provisioning, regulating, and supporting services …
ecosystem; birds may be used to provide provisioning, regulating, and supporting services …
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals
J Torre-Cruz, F Canadas-Quesada… - Journal of Biomedical …, 2023 - Elsevier
Background and objective: Valvular heart disease (VHD) is associated with elevated
mortality rates. Although transthoracic echocardiography (TTE) is the gold standard …
mortality rates. Although transthoracic echocardiography (TTE) is the gold standard …
Heartbeat sound classification using a hybrid adaptive neuro-fuzzy inferences system (ANFIS) and artificial bee colony
P Keikhosrokiani, AB Naidu A/P Anathan… - Digital …, 2023 - journals.sagepub.com
Cardiovascular disease is one of the main causes of death worldwide which can be easily
diagnosed by listening to the murmur sound of heartbeat sounds using a stethoscope. The …
diagnosed by listening to the murmur sound of heartbeat sounds using a stethoscope. The …
CNN and bidirectional GRU-based heartbeat sound classification architecture for elderly people
Cardiovascular diseases (CVDs) are a significant cause of death worldwide. CVDs can be
prevented by diagnosing heartbeat sounds and other conventional techniques early to …
prevented by diagnosing heartbeat sounds and other conventional techniques early to …
Heart valve diseases detection based on feature-fusion and hierarchical LSTM network
Early detection and diagnosis of heart valve diseases (HVDs) can prevent cardiac arrest.
This work proposes a novel feature fusion method for detecting HVDs using a …
This work proposes a novel feature fusion method for detecting HVDs using a …
Classification of heart sounds using chaogram transform and deep convolutional neural network transfer learning
A Harimi, Y Majd, AA Gharahbagh, V Hajihashemi… - Sensors, 2022 - mdpi.com
Heart sounds convey important information regarding potential heart diseases. Currently,
heart sound classification attracts many researchers from the fields of telemedicine, digital …
heart sound classification attracts many researchers from the fields of telemedicine, digital …
Heart sounds classification: Application of a new CyTex inspired method and deep convolutional neural network with transfer learning
Abstract Analysis of heart sounds is an effective means for the early diagnosis of cardiac
pathologies. Heart sound classification is a challenging multi-disciplinary field that attracts …
pathologies. Heart sound classification is a challenging multi-disciplinary field that attracts …