Results 1 to 10 of about 128,271 (260)

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, Zixuan Zhou, Junze Bao, Chengniu Wang, Hanqing Chen, Chen Xu, Gangcai Xie, Hongmin Shen, Huiqun Wu   +8 more
doaj   +3 more sources

Deep Learning in Heart Sound Analysis: From Techniques to Clinical Applications [PDF]

Health Data Science
Importance: Heart sound auscultation is a routinely used physical examination in clinical practice to identify potential cardiac abnormalities. However, accurate interpretation of heart sounds requires specialized training and experience, which limits ...
Qinghao Zhao, Shijia Geng, Boya Wang, Yutong Sun, Wenchang Nie, Baochen Bai, Chao Yu, Feng Zhang, Gongzheng Tang, Deyun Zhang, Yuxi Zhou, Jian Liu, Shenda Hong   +12 more
doaj   +2 more sources

Deep Learning for Heart Sound Abnormality of Infants: Proof-of-Concept Study of 1D and 2D Representations [PDF]

Children
Introduction: Advanced identification and intervention for Congenital Heart Defects (CHDs) in pediatric populations are crucial, as approximately 1% of neonates worldwide present with these conditions. Traditional methods of diagnosing CHDs often rely on
Eashita Wazed, Jimin Lee, Hieyong Jeong
doaj   +2 more sources

Segmentation of Heart Sound Signal Based on Multi-Scale Feature Fusion and Multi-Classification of Congenital Heart Disease [PDF]

Bioengineering
Analyzing 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, Mingzhe Li, Zhaoming He, Ling Zhou   +3 more
doaj   +2 more sources

Advanced heart disease classification based on multi-channel heart sound coupling features. [PDF]

PLoS ONE
Conventional heart sound classification methods often rely on single-channel, one-dimensional feature extraction, which inadequately captures pathological relationships across different auscultation zones, thereby limiting the accuracy of heart disease ...
Yu Fang, Dongbo Liu, Zijian Guo, Hongxia Leng, Xing Liu, Xiaochen Wu   +5 more
doaj   +2 more sources

Analysis of Heart-Sound Characteristics during Motion Based on a Graphic Representation

Sensors, 2021
In this paper, the graphic representation method is used to study the multiple characteristics of heart sounds from a resting state to a state of motion based on single- and four-channel heart-sound signals.
Chen-Jun She, Xie-Feng Cheng, Kai Wang
doaj   +1 more source

Intelligent Stethoscope System and Diagnosis Platform With Synchronized Heart Sound and Electrocardiogram Signals

IEEE Access, 2023
This paper proposes an intelligent stethoscope system that synchronously displays the electrocardiogram (ECG) and heart sound. The instrument, which accelerates auscultation, can be used for the diagnosis of valvular heart disease (VHD) for clinical ...
Shuenn-Yuh Lee, Po-Han Su, Yi-Ting Hsieh, Sheng-Hsin Huang, I-Pei Lee, Ju-Yi Chen   +5 more
doaj   +1 more source

Design and Realization of MEMS Heart Sound Sensor with Concave, Racket-Shaped Cilium

Biosensors, 2022
The biomedical acoustic signal plays an important role in clinical non-invasive diagnosis. In view of the deficiencies in early diagnosis of cardiovascular diseases, acoustic properties of S1 and S2 heart sounds are utilized. In this paper, we propose an
Yuhua Yang, Bo Wang, Jiangong Cui, Guojun Zhang, Renxin Wang, Wendong Zhang, Changde He, Yirui Li, Pengcheng Shi, Shuotong Wang   +9 more
doaj   +1 more source

Design framework of hybrid ensemble identification network and its application in heart sound analysis

AIP Advances, 2022
Mixed heart sounds include heart sounds in a state of resting and motion. The analysis of heart sound signals in a state of motion is a difficult problem.
Chen-Jun She, Xie-Feng Cheng
doaj   +1 more source

A review on deep learning methods for heart sound signal analysis [PDF]

Frontiers in Artificial Intelligence
Ankica Babić, Arash Gharehbaghi, Babić Ankica   +2 more
exaly   +2 more sources