HomeResultsPublicationsLow-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening

Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening

Published 2024

Read in Norwegian

Publication details

Journal : IEEE Transactions on Instrumentation and Measurement , vol. 73 , p. 1–16–15 , 2024

International Standard Numbers :
Printed : 0018-9456
Electronic : 1557-9662

Publication type : Academic article

Contributors : Enériz, Daniel; Rodriguez-Almeida, Antonio J.; Fabelo, Himar; Ortega Sarmiento, Samuel; Balea-Fernandez, Francisco J.; Callico, Gustavo M.; Medrano, Nicolás; Calvo, Belén

Links :
DOI : doi.org/10.1109/TIM.2024.33922...

Research areas

Quality and measurement methods

If you have questions about the publication, you may contact Nofima’s Chief Librarian.

Kjetil Aune
Chief Librarian
kjetil.aune@nofima.no

Contacts:

Samuel Ortega Sarmiento

Samuel Ortega Sarmiento

Scientist

Topics associated with the publication

Data analysis

Other publications from Data analysis

Unifying heterogeneous hyperspectral databases for in vivo human brain cancer classification: Towards robust algorithm development

Computer Methods and Programs in Biomedicine Update, 2025
Academic article

Unintended Consonances: Methods to Understand Robot Motor Sound Perception

2019
Academic chapter/article/Conference paper

Combining text mining of social media data and conjoint approach to investigate consumer choices on organic food

Food Quality and Preference, 2025
Academic article

Dynamic Multiblock Regression for Process Modelling

Journal of Chemometrics, 2024
Academic article

Computational Test for Conditional Independence

Algorithms, 2024
Academic article

See all publications