Editorial: Cognitive Brain-Inspired Cyber-Physical Systems in Industrial Informatics

Furthermore, this research shows that the proposed protocol is effective in terms of the communication and computation cost in secure cloud storage of smart card–based healthcare information. The third paper by Li et al. has established a CNN algorithm model and applied it to the MRI image segmentat...

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Published inFrontiers in Neurorobotics Vol. 16; p. 926538
Main Authors Sangaiah, Arun Kumar, Siarry, Patrick
Format Journal Article Publication
LanguageEnglish
Published Lausanne Frontiers Research Foundation 23.06.2022
Frontiers
Frontiers Media S.A
Subjects
Algorithms
Artificial intelligence
Brain research
brain-inspired computation
Cerebral infarction
Cognitive ability
cognitive cyber-physical systems
cognitive system
Computer Science
Conflicts of interest
cyber physical system (CPS)
Digital signatures
Editorials
Epilepsy
Experiments
Image processing
industrial informatics
Industrial Revolution
Informatics
Machine learning
Magnetic resonance imaging
Neuroscience
Patients
Robotics
Segmentation
Smart cards
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Summary:Furthermore, this research shows that the proposed protocol is effective in terms of the communication and computation cost in secure cloud storage of smart card–based healthcare information. The third paper by Li et al. has established a CNN algorithm model and applied it to the MRI image segmentation of patients with acute cerebral infarction to evaluate the effect of butylphthalide combined with edaravone treatment on the neurological function of patients. The success of the online experiment with five subjects demonstrates the simplicity and flexibility of the robotic arm control system in SSVEP-based BCI, which will be a practicable and promising application for disabled individuals in their daily lives.
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Edited and reviewed by: Alois C. Knoll, Technical University of Munich, Germany
ISSN:1662-5218
1662-5218
DOI:10.3389/fnbot.2022.926538