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 …
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 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 …
Speaker profiling based on the short-term acoustic features of vowels
Speech samples can provide valuable information regarding speaker characteristics,
including their social backgrounds. Accent variations with speaker backgrounds reflect …
including their social backgrounds. Accent variations with speaker backgrounds reflect …
Design and implementation of remote PCG (phonocardiography) system using audio exchange bus
This paper presents the implementation of a remote PCG (phonocardiography) System that
can play an instrumental role in significantly improve healthcare services in rural areas …
can play an instrumental role in significantly improve healthcare services in rural areas …
Heart Sound Classification based on Discrete Wavelet Transform and Group-based Sparse Features of PCG Signal
Z Hossein-Nejad, M Nasri - 2023 14th International Conference …, 2023 - ieeexplore.ieee.org
Heart sounds play an important role in diagnosing heart diseases. The phonocardiogram
(PCG), is the recording of the sounds produced by the heart and the main heart valves. The …
(PCG), is the recording of the sounds produced by the heart and the main heart valves. The …
[HTML][HTML] 基于时频组合特征与自适应模糊神经网络的心音分类算法
琴汪， 宏波杨， 家华潘， 英杰田， 涛郭… - Sheng Wu Yi Xue Gong …, 2023 - ncbi.nlm.nih.gov
特征提取方法和分类器的选择是心音分类中的两个重要环节。 为了充分捕捉心音信号中的病理
性特征， 研究中引入了一种结合梅尔频率倒谱系数（ MFCC） 和功率谱密度（ PSD） …
性特征， 研究中引入了一种结合梅尔频率倒谱系数（ MFCC） 和功率谱密度（ PSD） …
Heart Abnormality Classification with Power Spectrum Feature and Machine Learning
Heart sounds are essential in diagnosing and analyzing heart disease and detecting
abnormalities in the heart. Abnormalities in the heart can usually be detected when there is …
abnormalities in the heart. Abnormalities in the heart can usually be detected when there is …