Results 31 to 40 of about 4,885 (281)
Heart Sound Segmentation Using Bidirectional LSTMs With Attention [PDF]
IEEE Journal of Biomedical and Health Informatics, 2020 This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering the salient information that it provides for the detection of the heart state.
Tharindu Fernando +5 more
openaire +4 more sources
The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach
Sensors, 2022 Deep learning techniques are the future trend for designing heart sound classification methods, making conventional heart sound segmentation dispensable.
Xinqi Bao +2 more
doaj +1 more source
Entropy, 2021 Heart sound signals reflect valuable information about heart condition. Previous studies have suggested that the information contained in single-channel heart sound signals can be used to detect coronary artery disease (CAD). But accuracy based on single-
Tongtong Liu +10 more
doaj +1 more source
Real-time segmentation of heart sound pattern with amplitude reconstruction [PDF]
, 2010 This paper presents a new idea for real-time segmentation of heart sound using amplitude reconstruction. Biomedical signal processing usually uses recorded information as the inputs.
Arvin, Farshad; id_orcid +5 more
core +1 more source
Cross-Domain Transfer Learning for PCG Diagnosis Algorithm
Biosensors, 2021 Cardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map.
Kuo-Kun Tseng +5 more
doaj +1 more source
Lightweight End-to-End Neural Network Model for Automatic Heart Sound Classification
Information, 2021 Heart sounds play an important role in the initial screening of heart diseases. However, the accurate diagnosis with heart sound signals requires doctors to have many years of clinical experience and relevant professional knowledge.
Tao Li +4 more
doaj +1 more source
Automatic segmentation of Phonocardiogram using the occurrence of the cardiac events
Informatics in Medicine Unlocked, 2017 Objective: This paper presents automatic method of segmentation of heart sound using the occurrence of the cardiac rhythmic events. Methods: Noisy heart sound is filtered using the 6th order Chebyshev type I low pass filter to remove the redundant noise.
M. Vishwanath Shervegar, Ganesh V. Bhat
doaj +1 more source
Prediagnosis of Heart Failure (HF) Using Deep Learning and the Korotkoff Sound
Applied Sciences, 2022 Heart failure (HF) is a devastating condition that impairs people’s lives and health. Because of the high morbidity and mortality associated with HF, early detection is becoming increasingly critical.
Huanyu Zhang +5 more
doaj +1 more source
Unsupervised Segmentation of Heart Sounds from Abrupt Changes Detection
Computers in Biology and Medicine, 2023 Heart auscultation enables early diagnosis of cardiovascular diseases. Automated segmentation of cardiograms into fundamental heart states can guide physicians to analyze the patient's condition more effectively. In this work, we propose an unsupervised method of segmentation into heart sounds and silences based on the detection of abrupt changes in ...
Eric Tatulli +2 more
openaire +2 more sources
Heart Murmur Classification Using a Capsule Neural Network
Bioengineering, 2023 The healthcare industry has made significant progress in the diagnosis of heart conditions due to the use of intelligent detection systems such as electrocardiograms, cardiac ultrasounds, and abnormal sound diagnostics that use artificial intelligence ...
Yu-Ting Tsai +4 more
doaj +1 more source