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Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”

Recently, significant developments have been achieved in the field of artificial intelligence, in particular the introduction of deep learning technology that has improved the learning and prediction accuracy to unpresented levels, especially when dealing with big data and high-resolution images. Si...

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Detalles Bibliográficos
Autores principales: Abbod, Maysam, Shieh, Jiann-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865196/
https://www.ncbi.nlm.nih.gov/pubmed/31683518
http://dx.doi.org/10.3390/s19214727
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author Abbod, Maysam
Shieh, Jiann-Shing
author_facet Abbod, Maysam
Shieh, Jiann-Shing
author_sort Abbod, Maysam
collection PubMed
description Recently, significant developments have been achieved in the field of artificial intelligence, in particular the introduction of deep learning technology that has improved the learning and prediction accuracy to unpresented levels, especially when dealing with big data and high-resolution images. Significant developments have occurred in the area of medical signal processing, measurement techniques, and health monitoring, such as vital biological signs for biomedical systems and noise and vibration of mechanical systems, which are carried out by instruments that generate large data sets. These big data sets, ultimately driven by high population growth, would require Artificial Intelligence techniques to analyse and model. In this Special Issue, papers are presented on the latest signal processing and deep learning techniques used for health monitoring of biomedical and mechanical systems.
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spelling pubmed-68651962019-12-09 Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring” Abbod, Maysam Shieh, Jiann-Shing Sensors (Basel) Editorial Recently, significant developments have been achieved in the field of artificial intelligence, in particular the introduction of deep learning technology that has improved the learning and prediction accuracy to unpresented levels, especially when dealing with big data and high-resolution images. Significant developments have occurred in the area of medical signal processing, measurement techniques, and health monitoring, such as vital biological signs for biomedical systems and noise and vibration of mechanical systems, which are carried out by instruments that generate large data sets. These big data sets, ultimately driven by high population growth, would require Artificial Intelligence techniques to analyse and model. In this Special Issue, papers are presented on the latest signal processing and deep learning techniques used for health monitoring of biomedical and mechanical systems. MDPI 2019-10-31 /pmc/articles/PMC6865196/ /pubmed/31683518 http://dx.doi.org/10.3390/s19214727 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Abbod, Maysam
Shieh, Jiann-Shing
Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”
title Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”
title_full Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”
title_fullStr Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”
title_full_unstemmed Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”
title_short Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”
title_sort special issue “advanced signal processing in intelligent systems for health monitoring”
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865196/
https://www.ncbi.nlm.nih.gov/pubmed/31683518
http://dx.doi.org/10.3390/s19214727
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