Results 71 to 80 of about 7,978 (286)

Precision Diagnosis: An Automated Method for Detecting Congenital Heart Diseases in Children From Phonocardiogram Signals Employing Deep Neural Network

open access: yesIEEE Access
According to the World Health Organization (WHO), congenital heart disorders (CHDs) impact a significant proportion of babies worldwide, with prevalence rates ranging from 0.8% to 1.2%.
H. Alkahtani   +5 more
semanticscholar   +1 more source

Classification of Phonocardiogram Recordings Using Vision Transformer Architecture

open access: yes2022 Computing in Cardiology (CinC), 2022
We participated in the George B. Moody Challenge 2022 to make a model which detects the presence or absence of murmurs from multiple heart sound recordings from multiple auscultation locations, as well as detecting the clinical outcomes from ...
Joonyeob Kim, Gibeom Park, B. Suh
semanticscholar   +1 more source

Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review

open access: yesIEEE Access
Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart disease (VHD) is effective in reducing critical cardiac problems and
Ayappasamy Kannan   +3 more
doaj   +1 more source

Phonocardiogram simulator Patent [PDF]

open access: yes, 1970
Phonocardiogram simulator producing electrical voltage waves to control amplitude and duration between simulated ...
Keefer, J. M.
core   +1 more source

Short-segment heart sound classification using an ensemble of deep convolutional neural networks [PDF]

open access: yes, 2018
This paper proposes a framework based on deep convolutional neural networks (CNNs) for automatic heart sound classification using short-segments of individual heart beats. We design a 1D-CNN that directly learns features from raw heart-sound signals, and
Noman, Fuad   +3 more
core   +2 more sources

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
ABSTRACT The integration of wavelet transformation and artificial intelligence techniques has demonstrated significant potential in healthcare applications. Wavelet analysis enables multi‐scale signal decomposition and feature extraction that, when combined with machine and deep learning approaches, enhance the accuracy and efficiency of medical data ...
Samiul Based Shuvo   +8 more
wiley   +1 more source

Physiologic Status Monitoring via the Gastrointestinal Tract [PDF]

open access: yes, 2014
Reliable, real-time heart and respiratory rates are key vital signs used in evaluating the physiological status in many clinical and non-clinical settings.
Barman, Ross   +7 more
core   +1 more source

Comparison of remote and in‐person respiratory function grading of brachycephalic dogs

open access: yesVeterinary Surgery, Volume 54, Issue 3, Page 573-580, April 2025.
Abstract Objective To compare the reliability of respiratory function grading (RFG) scores assigned in‐person and remotely via video and electronic stethoscope recordings, evaluated by novice and expert graders. Study design Prospective study. Sample population Fifty‐seven brachycephalic dogs. Methods Dogs were evaluated in person by expert graders and
Zong H. Peng   +5 more
wiley   +1 more source

Study of the Correlation Between the Ratio of Diastolic to Systolic Durations and Echocardiography Measurements and Its Application to the Classification of Heart Failure Phenotypes

open access: yesInternational Journal of General Medicine, 2021
Lifang Cheng,1,2,* Kangla Liao,2,* Yingying Wang,2 Fajin Lv,1 Xingming Guo,3 Yineng Zheng,1 Jian Qin2 1Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China ...
Cheng L   +6 more
doaj  

Home - About - Disclaimer - Privacy