Results 11 to 20 of about 29,766 (248)
Heart Sound Classification for Early Detection of Cardiovascular Diseases Using XGBoost and Engineered Acoustic Features [PDF]
SensorsHeart sound-based detection of cardiovascular diseases is a critical task in clinical diagnostics, where early and accurate identification can significantly improve patient outcomes.
P. P. Satya Karthikeya +7 more
doaj +2 more sources
Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explainable Artificial Intelligence [PDF]
BioengineeringIn recent years, deep learning has shown promise in automating heart-sound classification. Although this approach is fast, non-invasive, and cost-effective, its diagnostic accuracy still mainly depends on the clinician’s expertise, making it particularly
Sami Alrabie, Ahmed Barnawi
doaj +2 more sources
Heart sound classification using Gaussian mixture model. [PDF]
Porto Biomed J, 2018 Abstract Background: This article represents a new method of classifying the heart sound status using the loudness features from the heart sound. Materials and methods: The method includes the following 3 main steps. First, the heart sound, which is usually found noisy, is
Shervegar MV, Bhat GV.
europepmc +4 more sources
BioengineeringAnalyzing heart sound signals presents a novel approach for early diagnosis of pediatric congenital heart disease. The existing segmentation algorithms have limitations in accurately distinguishing the first (S1) and second (S2) heart sounds, limiting ...
Yuan Zeng +3 more
doaj +3 more sources
IEEE Access, 2019 By classifying the heart sound signals, it can provide very favorable clinical information to the diagnosis of cardiovascular diseases. According to the characteristics of heart sound signals which are complex and difficult to classify and recognize, a ...
Jinghui Li +5 more
doaj +3 more sources
Robust Heart Sound Analysis With MFCC and Light Weight Convolutional Neural Network [PDF]
IEEE Open Journal of Engineering in Medicine and BiologyObjective: Heart sound analysis is essential for cardiovascular disorder classification. Traditional auscultation and rule-based methods require manual feature engineering and clinical expertise.
Aliya Hasan, Mohammad Karim
doaj +2 more sources
Incremental Learning Frameworks for Dynamic Heart Sound Classification
IEEE AccessHeart sound classification plays a vital role in the early detection of cardiovascular diseases. Accurate and timely classification of these sounds can provide critical insights for patient care. However, deep learning models trained incrementally on new
Gauri Santosh Pisharady +3 more
doaj +2 more sources
Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features
Bioengineering, 2023 The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a ...
Wei Chen +8 more
doaj +1 more source
Research on Segmentation and Classification of Heart Sound Signals Based on Deep Learning
Applied Sciences, 2021 The heart sound signal is one of the signals that reflect the health of the heart. Research on the heart sound signal contributes to the early diagnosis and prevention of cardiovascular diseases.
Yi He +5 more
doaj +1 more source
Deep Wavelets for Heart Sound Classification [PDF]
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2019 Cardiovascular diseases have a high morbidity, and remain the leading cause of mortality. In the past two decades, developing an intelligent auscultation system has attracted tremendous efforts from the field of signal processing and machine learning. We propose a novel framework based on wavelet representations and deep recurrent neural networks for ...
Kun Qian 0003 +5 more
openaire +1 more source