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Special Issue 'Advanced Signal Processing in Intelligent Systems for Health Monitoring'
- Source :
- Sensors, Vol 19, Iss 21, p 4727 (2019), Sensors (Basel, Switzerland)
- Publication Year :
- 2019
- Publisher :
- MDPI, 2019.
-
Abstract
- Copyright © 2019 by the authors. 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.
- Subjects :
- Computer science
Big data
lcsh:Chemical technology
Biochemistry
Field (computer science)
Analytical Chemistry
Deep Learning
health monitoring
big data
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Monitoring, Physiologic
Signal processing
Noise (signal processing)
business.industry
biomedical systems
Deep learning
Intelligent decision support system
Signal Processing, Computer-Assisted
mechanical systems
artificial intelligence
Data science
Atomic and Molecular Physics, and Optics
Editorial
machine learning
Artificial intelligence
business
intelligent system
Algorithms
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Sensors, Vol 19, Iss 21, p 4727 (2019), Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....f494347337d8842713b9fb370bf455a5