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Titlebook: Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility; Enrique Hortal Book 2019 Springer Internationa

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发表于 2025-3-21 18:27:26 | 显示全部楼层 |阅读模式
期刊全称Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility
影响因子2023Enrique Hortal
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发行地址Nominated as an outstanding PhD thesis by the Bioengineering Group of Comité Español de Automática (CEA).Presents different control systems for BCI (brain–computer interface)-based rehabilitation of p
学科分类Springer Theses
图书封面Titlebook: Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility;  Enrique Hortal Book 2019 Springer Internationa
影响因子.This book reports on the development of different control tools for Brain-machine interface-based assistance and rehabilitation. Brain activity is analyzed with the purpose of classify mental tasks and detecting movement intentions in patients with impaired motility. Event-Related Desynchronization (ERD) and Event-Related Synchronization (ERS) are detected. Throughout this book, different control systems are presented and validated. This thesis, examined at the Miguel Hernández University of Elche, Spain, in 2016, received the award for best thesis in bioengineering from the Bioengineering group of the Spanish Committee of Automatic Control (CEA) in 2017..
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Book 2019 examined at the Miguel Hernández University of Elche, Spain, in 2016, received the award for best thesis in bioengineering from the Bioengineering group of the Spanish Committee of Automatic Control (CEA) in 2017..
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Lecture Notes in Computer Scienceerent mental tasks. In this work, methods to infer from two to five different mental tasks are presented. Additionally, the detection of two and four mental tasks has been applied, in real-time, to enable the manipulation of two different robotic systems.
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2190-5053 for best thesis in bioengineering from the Bioengineering group of the Spanish Committee of Automatic Control (CEA) in 2017..978-3-030-07085-4978-3-319-95705-0Series ISSN 2190-5053 Series E-ISSN 2190-5061
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Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility
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Motor Imagery,chniques. The chapter starts with a description of the phenomenon under study followed by the methodology applied in order to distinguish between different mental tasks. In this work, methods to infer from two to five different mental tasks are presented. Additionally, the detection of two and four
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BMI Based on Movement Intention Detection,n of the principal brain signal’s potentials utilized with the purpose of detecting the mental activity of an individual. Furthermore, a methodology to detect users’ movement intention through the analysis of the event-related desynchronization phenomenon is presented. Finally, the experimental phas
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