Results 61 to 70 of about 5,008 (218)
Fetal Gender Identification using Machine and Deep Learning Algorithms on Phonocardiogram Signals [PDF]
Phonocardiogram (PCG) signal analysis is a critical, widely-studied technology to noninvasively analyze the heart's mechanical activity. Through evaluating heart sounds, this technology has been chiefly leveraged as a preliminary solution to automatically diagnose Cardiovascular diseases among adults; however, prenatal tasks such as fetal gender ...
arxiv
Model Identifkasi Sinyal Jantung Pertama (S1) dan Sinyal Jantung Kedua (S2) pada Janin
Process of identifying fetal heart sound signals is imperative in recognizing congenital heart function that caused by many factors, such as hereditary factors and food intake of pregnant mothers.
Ira Puspasari+3 more
doaj +1 more source
Searching for Effective Neural Network Architectures for Heart Murmur Detection from Phonocardiogram [PDF]
Aim: The George B. Moody PhysioNet Challenge 2022 raised problems of heart murmur detection and related abnormal cardiac function identification from phonocardiograms (PCGs). This work describes the novel approaches developed by our team, Revenger, to solve these problems. Methods: PCGs were resampled to 1000 Hz, then filtered with a Butterworth band-
arxiv
Background Heart sound measurement is crucial for analyzing and diagnosing patients with heart diseases. This study employed phonocardiogram signals as the input signal for heart disease analysis due to the accessibility of the respective method.
Wen-Hsien Ho+7 more
doaj +1 more source
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
PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns
Heart murmurs have been found to be a life threatening condition for the newborns who are born with cardiac abnormalities. The first sign of pathological changes of heart valves appears in phonocardiogram which contains very useful information about ...
Amir Mohammad Amiri+3 more
doaj +1 more source
A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms. [PDF]
McDonald A, Gales MJF, Agarwal A.
europepmc +2 more sources
Phonocardiogram simulator Patent [PDF]
Phonocardiogram simulator producing electrical voltage waves to control amplitude and duration between simulated ...
Keefer, J. M.
core +1 more source
Performance Analysis of Fetal-Phonocardiogram Signal Denoising Using The Discrete Wavelet Transform [PDF]
The obligation for comprehensive fetal heart rate investigation had driven to improve the passive and non-invasive diagnostic instruments despite the USG or CTG method.
Fuadina, Ipam+2 more
core +2 more sources
Comparison of remote and in‐person respiratory function grading of brachycephalic dogs
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