Complex brain activity analysis and recognition based on multiagent methods

Zhang, Haolan; Liu, Jiming; Dowens, Margaret Gillon

doi:10.1002/cpe.5855

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Cited by 3 publications

References 27 publications

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Human-Computer Interaction Model for Brainstorming Based on Extenics

Zhang

2021

Brain Informatics

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Human-Computer Interaction Model for Brainstorming Based on Extenics

Zhang

2021

Brain Informatics

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Ictal-onset localization through effective connectivity analysis based on RNN-GC with intracranial EEG signals in patients with epilepsy

Wang,

Liu,

Yang

2024

Brain Inf.

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Epilepsy is one of the most common clinical diseases of the nervous system. The occurrence of epilepsy will bring many serious consequences, and some patients with epilepsy will develop drug-resistant epilepsy. Surgery is an effective means to treat this kind of patients, and lesion localization can provide a basis for surgery. The purpose of this study was to explore the functional types and connectivity evolution patterns of relevant regions of the brain during seizures. We used intracranial EEG signals from patients with epilepsy as the research object, and the method used was GRU-GC. The role of the corresponding area of each channel in the seizure process was determined by the introduction of group analysis. The importance of each area was analysed by introducing the betweenness centrality and PageRank centrality. The experimental results show that the classification method based on effective connectivity has high accuracy, and the role of the different regions of the brain could also change during the seizures. The relevant methods in this study have played an important role in preoperative assessment and revealing the functional evolution patterns of various relevant regions of the brain during seizures.

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A Survey on Big Data Technologies and Their Applications to the Metaverse: Past, Current and Future

Zhang

Lee

et al. 2022

Mathematics

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The development of big data technologies, which have been applied extensively in various areas, has become one of the key factors affecting modern society, especially in the virtual reality environment. This paper provides a comprehensive survey of the recent developments in big data technologies, and their applications to virtual reality worlds, such as the Metaverse, virtual humans, and digital twins. The purpose of this survey was to explore several cutting-edge big data and virtual human modelling technologies, and to raise the issue of future trends in big data technologies and the Metaverse. This survey investigated the applications of big data technologies in several key areas—including e-health, transportation, and business and finance—and the main technologies adopted in the fast-growing virtual world sector, i.e., the Metaverse.

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Complex brain activity analysis and recognition based on multiagent methods

Cited by 3 publications

References 27 publications

Human-Computer Interaction Model for Brainstorming Based on Extenics

Human-Computer Interaction Model for Brainstorming Based on Extenics

Ictal-onset localization through effective connectivity analysis based on RNN-GC with intracranial EEG signals in patients with epilepsy

A Survey on Big Data Technologies and Their Applications to the Metaverse: Past, Current and Future

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