Results 41 to 50 of about 4,260,860 (287)

HeartSiam: A Domain Invariant Model for Heart Sound Classification

2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2022
Cardiovascular disease is one of the leading causes of death according to WHO. Phonocardiography (PCG) is a costeffective, non-invasive method suitable for heart monitoring. The main aim of this work is to classify heart sounds into normal/abnormal categories. Heart sounds are recorded using different stethoscopes, thus varying in the domain.
Reza Yousefi Mashhoor, Ahmad Ayatollahi
openaire   +3 more sources

Optimal Heart Sound Segmentation Algorithm Based on K-Mean Clustering and Wavelet Transform

Applied Sciences, 2023
The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart
Xingchen Xu, Xingguang Geng, Zhixing Gao, Hao Yang, Zhiwei Dai, Haiying Zhang   +5 more
doaj   +1 more source

Heart Sound Classification via Sparse Coding

2016 Computing in Cardiology Conference (CinC), 2016
Introduction: The aim of the Physionet/CinC Challenge 2016 is to automatically classify heart sound recordings as normal or abnormal. The Challenge provides 3,153 labeled audio recordings taken from a single precordial location, as well as Springer's state-of-the-art beat segmentation algorithm.
Bradley M. Whitaker, David V. Anderson
openaire   +2 more sources

Design and Application of a Laconic Heart Sound Neural Network

IEEE Access, 2019
To design a classification algorithm of heart sounds with low hardware requirements and applicability to mobile terminals, this paper proposes a laconic heart sound neural network (LHSNN).
Xiefeng Cheng, Jianzhong Huang, Yunyi Li, Guan Gui   +3 more
doaj   +1 more source

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

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   +1 more source

A Tensor Approach to Heart Sound Classification

2016 Computing in Cardiology Conference (CinC), 2016
In the context of the PhysioNet/CinC 2016 Challenge, where a relatively large, labeled data set of phonocardiograms (PCGs) was made available, this work presents a mixed approach to the problem of its binary classification. Instead of laboriously selecting a set of PCG signal features that capture the fundamental differences between healthy and ...
openaire   +2 more sources

Assistive diagnostic technology for congenital heart disease based on fusion features and deep learning

Frontiers in Physiology, 2023
Introduction: Congenital heart disease (CHD) is a cardiovascular disorder caused by structural defects in the heart. Early screening holds significant importance for the effective treatment of this condition.
Yuanlin Wang, Xuankai Yang, Xiaozhao Qian, Weilian Wang, Tao Guo   +4 more
doaj   +1 more source

Extending Service Beyond Active Duty: Generalizability of Rheumatoid Arthritis Research Conducted Among US Veterans

Arthritis Care &Research, EarlyView.
Biomedical research involving US veterans continues to advance health care beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both veteran ...
Austin M. Wheeler, Joshua F. Baker, Jennifer L. Barton, Maria I. Danila, Tate M. Johnson, Kamini Kuchinad, Kaleb Michaud, Amir A. Razmjou, J. Steuart Richards, Namrata Singh, Isaac D. Smith, Katherine D. Wysham, Grant W. Cannon, Bryant R. England, Amy Joseph, Deana Lazaro, Katherine P. Liao, Courtney Loecker, Andreas Reimold, Beth I. Wallace, Ted R. Mikuls   +20 more
wiley   +1 more source

An automatic segmentation method for heart sounds

BioMedical Engineering OnLine, 2018
Background There are two major challenges in automated heart sound analysis: segmentation and classification. An efficient segmentation is capable of providing valuable diagnostic information of patients.
Qingshu Liu, Xiaomei Wu, Xiaojing Ma
doaj   +1 more source

Rheumatoid Arthritis, Frailty, and Outcomes of Surgical Hospitalizations: A National Population‐Based Analysis

Arthritis Care &Research, EarlyView.
Objective Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective noncardiac surgery. Methods We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including adults
Ali Yazdanyar, Joshua Baker, Katherine D. Wysham, Mohammed Yousufuddin, Farah Acher Kaiksow, Michael M. Ward   +5 more
wiley   +1 more source