Brain Informatics

Name: Brain Informatics | 12th International Conference, BI 2019, Haikou, China, December 13-15, 2019, Proceedings
Brand: Springer
Price: 53.49 EUR
Availability: OnlineOnly

12th International Conference, BI 2019, Haikou, China, December 13-15, 2019, Proceedings

Peipeng Liang Vinod Goel Chunlei Shan(Herausgeber*in)

Springer (Verlag)

Erschienen am 5. Dezember 2019

XV, 274 Seiten

E-Book

PDF mit Wasserzeichen-DRM

Systemvoraussetzungen

978-3-030-37078-7 (ISBN)

53,49 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Wasserzeichen-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Inhalt

Intro
Preface
Organization
Contents
Cognitive and Computational Foundations of Brain Science
EEG Signal Indicator for Emotional Reactivity
Abstract
1 Introduction
2 Methodology
2.1 Experiment Setup
2.2 Procedure
2.3 Participant
2.4 Measures
3 Result
4 Discussion
5 Conclusion
Acknowledgements
References
Relevance of Common Spatial Patterns Ranked by Kernel PCA in Motor Imagery Classification
1 Introduction
2 Methods
3 Experimental Set-Up
4 Results and Discussion
References
Subject-Oriented Dynamic Characterization of Motor Imagery Tasks Using Complexity Analysis
1 Introduction
2 Methods
3 Experimental Set-Up
References
Modeling Individual Tacit Coordination Abilities
Abstract
1 Introduction
2 Materials and Methods
2.1 Experimental Design
2.2 Measures Related to the Experiment
3 Results and Discussion
3.1 Characterizing the Variability in the Strategic Profiles
3.2 Detection of Dominant SR Values in the Strategic Profile
3.3 Modeling the Connection Between Strategic Profile and ICA
4 Conclusion
References
EEG-Based Driver Drowsiness Detection Using the Dynamic Time Dependency Method
Abstract
1 Introduction
2 Related Work
3 Driver Status Detection Based on DTD Method
3.1 Self-adjust Time Dependency for EEG Analysis
3.2 Experimental Design and Analysis
3.2.1 Experimental Settings
4 Conclusion
Acknowledgement
References
Human Information Processing Systems
Route Adjustment of Functional Brain Network in Mental Arithmetic Using Task-Evoked FMRI
Abstract
1 Introduction
2 Materials and Methods
2.1 fMRI Data Acquisition and Preprocessing
2.2 Construction of Functional Brain Networks
2.3 Topological Property Calculation
2.4 Searching Significant Adjusted Routes
2.5 The Nodes on the Adjusted Route
3 Results
4 Discussions
5 Conclusions
Acknowledgements
References
Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRI
Abstract
1 Introduction
2 Materials and Methods
2.1 Experiment Data
2.2 Experiment Design
2.3 Data Preprocessing
2.4 Functional Connectivity Calculation
2.5 Topological Property Calculation
3 Results and Discussions
4 Conclusions
Acknowledgements
References
The Neural Mechanism of Working Memory Training Improving Emotion Regulation
Abstract
1 Introduction
2 Method
2.1 Participants
2.2 The Task of Working Memory Training
2.3 The Task of ERP Emotional Regulation
2.4 Procedures
2.5 EEG Recordings
2.6 Data Analysis
3 Result
3.1 Emotional Valence and Arousal
3.2 LPP Indicator
4 Discussion
5 Conclusion
References
Dynamic Functional Connectivity in the Musical Brain
1 Introduction
2 Methods
2.1 Participants, Stimulus, fMRI Data Acquisition
2.2 Group ICA and Postprocessing
2.3 DFC and Clustering
3 Results and Discussion
References
Brain Big Data Analytics, Curation and Management
Imaging EEG Extended Sources Based on Variation Sparsity with L1-norm Residual
1 Introduction
2 Methods
2.1 Background
2.2 L1R-VSSI: L1-norm Residual Variation Sparse Source Imaging
3 Simulation Design and Evaluation Metrics
3.1 Simulation Design
3.2 Evaluation Metrics
4 Results
4.1 Results for Various Extents
4.2 Results for Different SNRs
4.3 Application of Epilepsy EEG Data
5 Conclusions
References
Image-Assisted Discrimination Method for Neurodevelopmental Disorders in Infants Based on Multi-feature Fusion and Ensemble Learning
Abstract
1 Introduction
2 Methods
2.1 Motion Positioning and Tracking
2.2 Infant Trajectory Analysis
2.3 Stacking Classification
3 Experiments
3.1 Selection of Test Subjects
3.2 Motion Track
3.3 Motion Trajectory Analysis
3.4 Stacking Model Training
4 Results
5 Conclusion
References
Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective
1 Introduction
2 Deep Learning
3 Identifying Neurodegenerative Diseases
3.1 Alzheimer's Disease
3.2 Schizophrenia
3.3 Parkinson's Disease
4 Dataset
5 Performance Analysis
6 Challenges and Future Perspective
7 Conclusion
References
The Changes of Brain Networks Topology in Graph Theory of rt-fMRI Emotion Self-regulation Training
Abstract
1 Introduction
2 Methods
2.1 Participants
2.2 Experimental Paradigm
2.3 Data Acquisition
2.4 fMRI Data Preprocessing
2.5 Construction of Functional Brain Network
2.6 Global Network Parameters
3 Results
4 Discussion
5 Conclusion
Acknowledgment
References
Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data
1 Introduction
2 The Convolutional Neural Network
3 CNN in Segmenting MRI
4 Performance Evaluation
5 Limitations and Challenges
6 Conclusion
References
Informatics Paradigms for Brain and Mental Health Research
Time Recognition of Chinese Electronic Medical Record of Depression Based on Conditional Random Field
Abstract
1 Introduction
2 Related Work
3 Classification of Time Expressions in Chinese Electronic Medical Record Texts
4 Recognition Scheme
4.1 Recognition of Clear Time Expressions
4.2 CRF
4.3 Time Information Extraction Based on CRF
5 Experiments and Analysis
5.1 Corpus and Tools
5.2 Evaluation Index
5.3 Experimental Results and Analysis
6 Conclusion
References
MeKG: Building a Medical Knowledge Graph by Data Mining from MEDLINE
1 Introduction
2 Related Work
3 Building Knowledge Base
3.1 The Framework
3.2 Building a Knowledge Graph Base
4 Discussions
5 Conclusions
References
Specificity Analysis of Picture-Induced Emotional EEG for Discrimination Between Schizophrenic and Control Participants
1 Introduction
2 Experiment and Methods
2.1 Stimuli
2.2 Procedure
2.3 Data Acquisition and Preprocessing
2.4 Methods
3 Results and Evaluation
3.1 Intra-channel EEG Pattern Based Results and Evaluation
3.2 Inter-channel EEG Pattern Based Results and Evaluation
4 Conclusion
References
Modeling an Augmented Reality Game Environment to Enhance Behavior of ADHD Patients
1 Introduction
2 Generic Design of the System
2.1 Formal Game Pipeline:
2.2 General Conceptual Model
3 Performance Measures
4 Conclusion and Future Work
References
Exploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 EEG Pipeline
2.3 Classification
3 Results and Discussion
3.1 Experiment 1
3.2 Experiment 2
3.3 Experiment 3
3.4 Experiment 4
3.5 Experiment 5
4 Conclusions and Future Work
References
Brain-Machine Intelligence and Brain-Inspired Computing
Evaluation of Identity Information Loss in EEG-Based Biometric Systems
1 Introduction
2 Methodology
2.1 Architecture of EEG-Based Biometric System
2.2 Evaluation of Identity Information Loss in EEG-Based Biometric System
2.3 EEG-Based Biometric System
3 Experiments
3.1 Datasets
3.2 Test Scenarios of the Methodology
3.3 Results and Discussion
4 Conclusion
References
Weighted-LDA-TVM: Using a Weighted Topic Vector Model for Measuring Short Text Similarity
Abstract
1 Introduction
2 Related Work
3 A Similarity Measurement Method of Short Texts Based on Weighted-LDA-TVM
3.1 Topic Selection
3.2 Topic Weighting Learning
3.3 Text Distance Calculation
4 Experimental Results and Analysis
4.1 The Experimental Dataset
4.2 Experiment and Result Analysis
5 Conclusions
Acknowledgment
Classification of Mental Arithmetic Cognitive States Based on CNN and FBN
Abstract
1 Introduction
2 Materials and Methods
2.1 Subjects
2.2 Experiment Design
2.3 Collection and Preprocessing of fMRI Data
3 Data-Driven CNN Brain Network Classification
3.1 Construction of FBN
3.2 Data Enhancement
3.3 The Construction of Convolutional Neural Network
4 Results
5 Discussions
6 Conclusions
References
Special Session on Computational Social Analysis for Mental Health
Establishment of Risk Prediction Model for Retinopathy in Type 2 Diabetic Patients
Abstract
1 Introduction
2 Data Source and Method
2.1 Data Source
2.2 Diabetic Retina Prediction Model
3 Results and Discussion
3.1 Index Importance Score
3.2 Optimization of Random Forest Model
3.3 Logistic Single Factor Regression Analysis of Risk Factors
4 Conclusions
Declarations
References
Anesthesia Assessment Based on ICA Permutation Entropy Analysis of Two-Channel EEG Signals
Abstract
1 Introduction
2 Methods
3 Results
3.1 Data Pre-processing by ICA
3.2 Feature Extraction and Feature Selection
3.3 Model Building and Evaluation
4 Discussion
5 Conclusion
References
A Preliminary Study of the Impact of Lateral Head Orientations on the Current Distributions During tDCS
Abstract
1 Introduction
2 Methodology
2.1 Quasi-static Approximation and Boundary Conditions
2.2 Model Construction and Stimulation Parameters
2.3 Finite Element Model Mesh and Data Computation
3 Result
3.1 Analysis of Models with C3-C4 Montage
3.2 Analysis of Models with C3-Fp2 Montage
4 Discussions and Conclusions
4.1 Comparison of Two Electrode Montages
4.2 Variation of Brain Displacement
4.3 Conclusions
References
Identification of Stress Impact on Personality Density Distributions
1 Introduction
2 Related Work
2.1 Integrated Personality Theory
2.2 Machine Learning Personality Assessment
3 Research Framework
3.1 Data Understanding
3.2 Modelling
4 Scenarios
5 Conclusions
References
Author Index

Systemvoraussetzungen

Als PDF speichern Als Link merken