Deep Conviction Systems for Biomedical Applications Using Intuiting Procedures With Cross Point Approach

Deep Conviction Systems for Biomedical Applications Using Intuiting Procedures With Cross Point Approach

The production, testing, and processing of signals without any interpretation is a crucial task with time scale periods in today's biological applications. As a result, the proposed work attempts to use a deep learning model to handle difficulties that arise during the processing stage of biome...

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Bibliographic Details
Main Authors: Hariprasath Manoharan, Shitharth Selvarajan, Ayman Yafoz, Hassan A. Alterazi, Mueen Uddin, Chin-Ling Chen, Chih-Ming Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Public Health
Subjects:
biomedical signals
deep learning
Fourier filters
sensors
cross points
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.909628/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.909628/full

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