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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6865196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT abbodmaysam specialissueadvancedsignalprocessinginintelligentsystemsforhealthmonitoring AT shiehjiannshing specialissueadvancedsignalprocessinginintelligentsystemsforhealthmonitoring |