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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

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eng
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1 online resource (555 pages)
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
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9783319027531
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http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=3101164
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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
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eng
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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
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txt
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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
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