Results 51 to 60 of about 2,560 (213)
Wavelet-based fundamental heart sound recognition method using morphological and interval features
Healthcare Technology Letters, 2018 Accurate and reliable recognition of fundamental heart sounds (FHSs) plays a significant role in automated analysis of heart sound (HS) patterns. This Letter presents an automated wavelet-based FHS recognition (WFHSR) method using morphological and ...
V. Nivitha Varghees +2 more
doaj +1 more source
Advanced Sensor Research, Volume 4, Issue 2, February 2025.Monitoring deep tissue biometrics is crucial for managing internal hemorrhage. This study introduces a novel single‐electrode capacitive sensor using carbon nanotube composites to improve penetration depth and sensitivity to regional dielectric or pressure changes.
Yu‐Jen Cheng +7 more
wiley +1 more source
Performance of using Mel-Frequency Cepstrum Based Features in Nonlinear Classifiers for Phonocardiography Recordings [PDF]
2023 31st European Signal Processing Conference (EUSIPCO),
Helsinki, Finland, 2023, pp. 1190-1194Cardiovascular system diseases can be identified by using a specialized diagnostic process utilizing a digital stethoscope. Digital stethoscopes provide phonocardiography (PCG) recordings for further inspection, besides filtering and amplification of heart sounds.
arxiv +1 more source
Research Communications of the 32nd ECVIM‐CA Online Congress
, 2022 Journal of Veterinary Internal Medicine, Volume 36, Issue 6, Page 2455-2551, November/December 2022.
wiley +1 more source
BioMedical Engineering OnLine, 2011 Background During the cardiac cycle, the heart normally produces repeatable physiological sounds. However, under pathologic conditions, such as with heart valve stenosis or a ventricular septal defect, blood flow turbulence leads to the production of ...
Ali Akbari Mohammad +6 more
doaj +1 more source
Clinical Cardiology, Volume 47, Issue 11, November 2024.A total of 204 patients and 49 features were collected. After splitting the population into training and test sets according to a ratio of 7:3, the LASSO and logistic regression was used to select the final five factors for a nomogram. The AUC for the nomogram model is 0.945, while the AUC for the echocardiographic parameters combined with NT‐proBNP in
Linchun Cao +4 more
wiley +1 more source
Phonocardiography Signals Compression with Deep Convolutional Autoencoder for Telecare Applications
Applied Sciences, 2020 Phonocardiography (PCG) signals that can be recorded using the electronic stethoscopes play an essential role in detecting the heart valve abnormalities and assisting in the diagnosis of heart disease.
Ying-Ren Chien +2 more
doaj +1 more source
Phonocardiography in an Echocardiography room
Journal of Physics: Conference Series, 2021 Abstract In Mexico City at Universidad Autónoma Metropolitana Azcapotzalco (UAMA), with the aim to build a Computerized Diagnostics System of Cardiac Diseases based on the sound emitted by the heart, a research project is conducting. Cardiac sound is captured in a computer through a data acquisition system which it transforms in an image
R. T. Hernández +6 more
openaire +2 more sources
PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns
EAI Endorsed Transactions on Mobile Communications and Applications, 2016 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
Learning technology in health professions education: Realising an (un)imagined future
Medical Education, Volume 58, Issue 1, Page 36-46, January 2024.Abstract Context Technology is being introduced, used and studied in almost all areas of health professions education (HPE), often with a claim of making HPE better in one way or another. However, it remains unclear if technology has driven real change in HPE.
Rebecca Grainger +2 more
wiley +1 more source