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Titlebook: Applications of Brain-Computer Interfaces in Intelligent Technologies; Szczepan Paszkiel Book 2022 The Editor(s) (if applicable) and The A

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发表于 2025-3-21 18:35:10 | 显示全部楼层 |阅读模式
期刊全称Applications of Brain-Computer Interfaces in Intelligent Technologies
影响因子2023Szczepan Paszkiel
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发行地址Presents applications of Brain-Computer Interfaces in Intelligent Technologies.Describes the implementation of the brain-computer technology.Presents applications of BCI technology in the field of int
学科分类Studies in Computational Intelligence
图书封面Titlebook: Applications of Brain-Computer Interfaces in Intelligent Technologies;  Szczepan Paszkiel Book 2022 The Editor(s) (if applicable) and The A
影响因子The BCI technology finds newer and newer implementations. Year by year, the number of publications in this field grows exponentially. This book attempts to describe the implementation of the brain-computer technology based on both STM32 and Arduino microcontrollers. In addition, the application of BCI technology in the field of intelligent houses, robotic lines as well as in the field of bionic prostheses was presented. One of the chapters of the monograph also discusses the issue of fMRI in the context of the possibility of analyzing images made as part of fMRI through solutions based on machine learning. A practical implementation of the TensorFlow framework was presented. The fMRI technique is also often implemented in BCI solutions. The conducted literature studies show that the technology of BCI is undoubtedly a technology of the future. However, there is a need for continuous development of biomedical signal processing methods in order to obtain the most efficient implementationsin the case of non-invasive implementation of BCI technology based on EEG. The further development of BCI technology has a huge impact on the techniques of rehabilitation of people with disabilities.
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Methods of Analyzing EEG Signals for the Needs of BCI Technology Including Motor Imagery,its operation. It is made of nerve cells called neurons and glial cells. It is estimated that there are approximately 86 billion neurons and the number of glial cells is similar and the ratio is approximately 1: 1.
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978-3-031-05503-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Studies in Computational Intelligencehttp://image.papertrans.cn/a/image/159319.jpg
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https://doi.org/10.1007/978-3-8349-8483-8Brain-computer interface (BCI) technology is one of the fastest growing technologies in the field of control interface development. Most implementations are based on measuring the EEG signal from the head surface, i.e. electroencephalography.
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