Coverart for item
The Resource Brain and Health Informatics : International Conference, BHI 2013, Maebashi, Japan, October 29-31, 2013. Proceedings

Brain and Health Informatics : International Conference, BHI 2013, Maebashi, Japan, October 29-31, 2013. Proceedings

Label
Brain and Health Informatics : International Conference, BHI 2013, Maebashi, Japan, October 29-31, 2013. Proceedings
Title
Brain and Health Informatics
Title remainder
International Conference, BHI 2013, Maebashi, Japan, October 29-31, 2013. Proceedings
Creator
Contributor
Subject
Language
eng
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Brain and Health Informatics : International Conference, BHI 2013, Maebashi, Japan, October 29-31, 2013. Proceedings
Label
Brain and Health Informatics : International Conference, BHI 2013, Maebashi, Japan, October 29-31, 2013. Proceedings
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=3101164
Publication
Copyright
Related Contributor
Related Location
Related Agents
Related Authorities
Related Subjects
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Conference Organization -- Table of Contents -- Thinking and Perception-centric Investigations of Human Information Processing System -- Role of the Prefrontal Cortex (PFC) on Processing the Social Statistical Information: An fMRI Study -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Stimuli and Procedure -- 2.3 Image Acquisition -- 2.4 Data Analysis -- 3 Results -- 4 Discussion -- References -- The Role of Correlated Inhibitory Cell Firing -- 1 Introduction -- 2 Methods -- 2.1 Neural Model -- 2.2 Synaptic Inputs and Modification -- 2.3 Poisson Input Model -- 2.4 Estimation of Competition -- 3 Results -- 3.1 The Effect of Horizontal Inhibition -- 3.2 The Effects of Backward Inhibition -- 3.3 The Effects of Independent Inhibition -- 3.4 Interaction among Different Types of Local Inhibition -- 3.5 Discussion -- References -- Effects of Virtual Training on Emotional Response -- 1 Introduction -- 2 Experimental Design -- 2.1 Participants -- 2.2 Setup -- 2.3 Implementation -- 3 Results -- 3.1 Type of Training -- 3.2 Six Months Later -- 3.3 Transfer of Training -- 4 Discussion -- References -- Effects of Category Labels on P300 in Facial Recognition -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Materials -- 2.3 Procedure -- 2.4 EEG-ERP Methods -- 3 Results -- 4 Discussion -- References -- Analysis of Brain Areas Activated while Using Strategies to Improve the Working Memory Capacity -- 1 Introduction -- 2 Working Memory and Reading Span Test -- 3 Methods -- 3.1 Experimental Overview -- 3.2 Subject and Experimental Design -- 3.3 Data Acquisition and Analysis -- 4 Results -- 4.1 RST Results -- 4.2 Activated Brain Areas in the HSS and LSS Groups -- 4.3 Changes in the Activated Areas after Learning the Strategy -- 4.4 Effects of the Learning Strategy -- 5 Discussion -- 6 Conclusion -- References
  • The Change of Resting EEG in Depressive Disorders -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 EEG Recordings -- 2.3 Data Analysis and Statistics -- 3 Results -- 3.1 Correlation Analysis -- 3.2 Asymmetry Analysis -- 4 Discussion -- References -- Neural Mechanism of Mental Imagery in Problem Solving -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Materials and Task -- 2.3 Procedure -- 2.4 FMRI Data Acquisition -- 2.5 Data Analysis -- 3 Results -- 3.1 Regions Involved in Mental Imagery -- 3.2 Result of Functional Connectivity Analysis -- 4 Discussions -- 5 Summary -- References -- Combining Two Visual Cognition Systems Using Confidence Radius and Combinatorial Fusion -- 1 Introduction -- 2 Combining Visual Cognition Systems -- 2.1 Statistical Mean -- 2.2 Treating Each Visual Cognition System as a Scoring System -- 2.3 Combining Two Visual Scoring Systems Using Combinatorial Fusion Analysis (CFA) -- 3 Experiments -- 3.1 Data Sets -- 3.2 Example of Combining Visual Cognition Systems Using Statistical Mean -- 3.3 Results and Analysis -- 4 Conclusion and Future Work -- References -- Sex Differences in the Human Connectome -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Connectome Network Analytics -- 4.1 Preprocessing the Data Sets -- 4.2 Graph Invariants -- 5 Empirical Results -- 5.1 Analysis of Graph Invariants -- 5.2 Learning Classification Models -- 6 Conclusion -- References -- Common and Dissociable Neural Substrates for 2-Digit Simple Addition and Subtraction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects -- 2.2 Experimental Design -- 2.3 MR Data Acquisition -- 2.4 Data Preprocessing -- 2.5 fMRI Analysis -- 3 Results -- 3.1 Behavioral Results -- 3.2 fMRI Results -- 4 Discussion -- 4.1 Activation of IPS in Addition and Subtraction -- 4.2 Retrieval of Arithmetic-Facts in Addition and Subtraction
  • 4.3 Differences between Addition and Subtraction -- 5 Conclusion -- References -- A Multi-agent Model for Supporting Exchange Dynamics in Social Support Networks during Stress -- 1 Introduction -- 2 Underlying Concepts in Social Support Networks -- 3 Modelling Approaches -- 3.1 Formalizing the Dynamics of Multi-agent Model -- 3.2 Dynamic Specifications of the Multi-agent -- 4 Simulation Traces -- 5 Mathematical Analysis -- 6 Verification -- 7 Conclusion -- References -- Information Technologies for Curating, Mining, Managing and Using Big Brain/Health Data -- An Approximation Approach to Measurement Design in the Reconstruction of Functional MRI Sequences -- Introduction -- 2 Problem Formulation -- 2.1 Sparsity of Variations -- 2.2 System Model -- 2.3 Measurement Model -- 2.4 Measurement Design Problem -- 3 Proposed Method -- 4 Experimental Results -- 4.1 Implementation Details of the fMRI Sequence Reconstruction -- 4.2 BCS vs. KF-BCS -- 4.3 Proposed Method vs. Random Sampling -- 5 Conclusion and Future Work -- References -- Composite Kernels for Automatic Relevance Determination in Computerized Diagnosis of Alzheimer's Disease -- 1 Introduction -- 2 Gaussian Processes for Regression -- 2.1 Learning of Hyperparameters -- 2.2 Predictions -- 3 Gaussian Processes for Classification -- 4 GPs versus SVMs -- 5 Data and Processing -- 6 CompositeKernels -- 7 Experiments -- 8 Conclusion -- References -- Extraction Algorithm of Similar Parts from Multiple Time-Series Data of Cerebral Blood Flow -- 1 Introduction -- 2 Algorithm -- 3 Evaluation of the Proposed Algorithm -- 3.1 Using Test Data -- 3.2 Using fNIRS Data -- 4 Conclusion -- References -- Peculiarity Oriented EEG Data Stream Mining -- 1 Introduction -- 2 Related Work -- 3 Peculiarity Oriented Stream Mining (POSM) -- 3.1 The Ordinary POM Approach -- 3.2 Peculiarity Evaluation in POSM
  • 3.3 Trend Analysis by POSM -- 4 Simulation and Evaluation for POSM -- 5 POSM in Epilepsy Data Analysis -- 6 Conclusion -- References -- Unsupervised Classification of Epileptic EEG Signals with Multi Scale K-Means Algorithm -- 1 Introduction -- 2 Experimental Data -- 3 Methodology -- 3.1 K-Means Algorithm and K-Means++ Algorithm -- 3.2 Multi Scale K-Means (MSK-Means) Algorithm -- 3.3 Sample Entropy Algorithm -- 3.4 Support Vector Machine -- 4 Experimental Results -- 4.1 Evaluating the Classification Accuracy of the MSK-Means Algorithm with Different Values of Scale Factor -- 4.2 Comparing Speed and Accuracy of K-Means, SVM and MSK-Means Algorithms with Different Numbers of Epochs and Scale Factor -- 4.3 Comparing the Speed and Accuracy of the K-Means, SVM and MSK-Means for Different Pairs of Data Sets -- 5 Conclusion -- References -- Information Technologies for Healthcare -- Argumentation Theory for Decision Support in Health-Care: A Comparison with Machine Learning -- 1 Introduction -- 2 Argumentation Theory -- 3 Design of a Defeasible Model -- 3.1 Translating Knowledge-Bases into Arguments and Attack Relations -- 3.2 Running Acceptability Semantics and Recommending an Extension -- 4 Evaluation -- 5 Discussion and Related Work -- 6 Conclusions and Future Work -- References -- Evaluating Functional Ability of Upper Limbs after Stroke Using Video Game Data -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Protocol -- 2.3 Measurement of Arm and Hand Movements during Game Play -- 2.4 Validation of Sixense Measurement System -- 3 Data Analysis -- 3.1 Position Data and Standardization -- 3.2 Orientation Data and Parametrizations -- 3.3 Kinematic Variables -- 3.4 Variable Selection and Modelling -- 3.5 Model Validation -- 4 Conclusions -- References -- Optimization of Eddy Current Distribution Using Magnetic Substance in TMS -- 1 Introduction
  • 2 Methods and Materials -- 2.1 Optimization Method of Eddy Current Distribution -- 2.2 Computer Simulation of Eddy Current Distribution in TMS -- 2.3 Finite Element Models -- 3 Results and Discussions -- 4 Conclusion -- References -- Telemedicine and Telemonitoring in Healthcare -- 1 Introduction -- 2 Telemedicine in Healthcare -- 3 Telemonitoring in Healthcare -- 4 Summary -- References -- Bottom Up Approach and Devolved Design of a Health Information System: eHealth TABLET -- 1 Introduction -- 2 Of Regions, Provinces, Municipalities: Organizational Context of the Philippine Health System -- 3 Methodology -- 4 Results -- 4.1 Bottom Up and Devolved Approach -- 4.2 Selected Municipalities as Pilot Sites -- 4.3 Evolution of the eHealth TABLET -- 5 Insights in the Bottom Up and Devolved Approach -- References -- Data Analytics, Data Mining, and Machine Learning -- Detrended Fluctuation Analysis of Photoplethysmography in Diabetic Nephropathy Patients on Hemodialysis -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Photoplethysmography Recording -- 2.3 Frequency-Domain Measures (Power Spectral Analysis) -- 2.4 Fractal Scaling Measures (Detrended Fluctuation Analysis) -- 3 Results -- 3.1 Frequency-Domain Measures -- 3.2 Fractal Scaling Me easures (Detrended Fluctuation Analysis) -- 4 Discussion -- References -- What We Found on Our Way to Building a Classifier: A Critical Analysis of the AHA Screening Questionnaire -- 1 Introduction -- 2 Data Used in This Study -- 3 Methods and Tools -- 3.1 The Classifiers -- 3.2 Information Content Analysis -- 3.3 Probabilistic Analysis of the Questions -- 4 Results -- 5 Conclusion -- References -- Mining Clinical Pathway Based on Clustering and Feature Selection -- 1 Introduction -- 2 Background -- 2.1 Clinical Pathway -- 2.2 Related Work -- 3 Data Preparation and Analysis -- 3.1 DWH -- 3.2 Mining Process
  • 3.3 Clinincal Pathway Maintenance Process
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783319027531&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4383619'}
Extent
1 online resource (555 pages)
Form of item
online
Isbn
9783319027531
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
Processing Feedback ...