Brain-computer interfaces : lab experiments to real-world applications
Başlık:
Brain-computer interfaces : lab experiments to real-world applications
ISBN:
9780128092620
9780128042168
Yayın Bilgileri:
Amsterdam, Netherlands : Academic Press, 2016.
©2016
Fiziksel Tanımlama:
1 online resource (436 pages)
Series:
Progress in Brain Research, Volume 228
Progress in brain research ; Volume 228.
Genel Not:
Includes index.
2.5.2. Optimization 1: Time lag and embedding dimension.
Contents:
Front Cover; Brain-Computer Interfaces: Lab Experiments to Real-World Applications; Copyright; Contributors; Contents; Preface; Part I: User Training; Chapter 1: Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their ne ... ; 1. Introduction; 2. Psychological and Cognitive Factors Related to MI-BCI Performance; 2.1. Emotional and Cognitive States That Impact MI-BCI Performance; 2.2. Personality and Cognitive Traits That Influence MI-BCI Performance.
2.3. Other Factors Impacting MI-BCI Performance: Demographic Characteristics, Experience, and Environment2.4. To Summarize: MI-BCI Performance Is Affected by the Users (1) Relationship with Technology, (2) Attention, and (3) S ... ; 3. The User-Technology Relationship: Introducing the Concepts of Computer Anxiety and Sense of Agency-Definition and Neur ... ; 3.1. Apprehension of Technology: The Concept of CA-Definition; 3.2. ``I did That!:́́ The Concept of Sense of Agency-Definition; 3.3. ``I did That!:́́ The Concept of Sense of Agency-Neural Correlates.
4. Attention-Definition and Neural Correlates4.1. Attention-Definition; 4.2. Attention-Neural Correlates; 5. Spatial Abilities-Definition and Neural Correlates; 5.1. Spatial Abilities-Definition; 5.2. Spatial Abilities-Neural Correlates; 6. Perspectives: The User-Technology Relationship, Attention, and Spatial Abilities as Three Levers to Improve MI-BCI Use ... ; 6.1. Demonstrating the Impact of the Protocol on CA and Sense of Agency; 6.2. Raising and Improving Attention; 6.3. Increasing Spatial Abilities; 7. Conclusion; References; Part II: Non-Invasive Decoding of 3D Hand and Arm Movements.
Chapter 2: From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach1. Overview; 2. Methods; 2.1. Classic Motor Imagination; 2.1.1. SMR-based BCIs for control; 2.1.2. SMR-based BCIs for communication; 2.1.3. SMR-based BCI training (classic vs adaptive); 2.2. Decoding Motor Execution; 2.3. Decoding Motor Imagination; 2.4. Decoding Movement Targets; 2.5. Decoding Movement Goals; 3. Conclusion; Acknowledgment; References; Chapter 3: 3D hand motion trajectory prediction from EEG mu and beta bandpower; 1. Introduction; 2. Methods.
2.1. Experimental Paradigm2.2. Data Acquisition; 2.3. Data Preprocessing; 2.3.1. EEG data preprocessing; 2.3.1.1. Re-referencing and bandpass filtering; 2.3.1.2. Independent component analysis; 2.3.1.3. The potential time-series model; 2.3.1.4. The bandpower time-series model; 2.3.2. Kinematic data preprocessing; 2.3.3. Data synchronization, data validation, and task interval separation; 2.4. Kinematic Data Reconstruction; 2.4.1. Multiple linear regression; 2.5. Architecture Optimization, Training, Test, and Cross-Validation; 2.5.1. Data separation for inner-outer cross-validation.
Abstract:
"Progress in noninvasive electroencephalography (EEG)-based brain-computer interface (BCI) research, development and innovation has accelerated in recent years. New brain signal signatures for inferring user intent and more complex control strategies have been the focus of many recent investigations. Major advances in recording technology, signal processing techniques, and clinical applications, tested with patient cohorts, as well as nonclinical applications, have been reported. This volume presents a timely snapshot of some of the current trends and state of the art in these areas, with an emphasis placed on the underlying neurology and neurophysiologic signaling underpinning the BCIs presented, with all contributions centered around EEG but relevant to all other neuroimaging/brain recording modalities"-- Preface
Local Note:
Elsevier
Added Author:
Elektronik Erişim:
Full Text Available From Elsevier e-Books
Dil:
English