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Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications

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Cover of 'Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications'

Table of Contents

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    Book Overview
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    Chapter 1 ConvNet-CA: A Lightweight Attention-Based CNN for Brain Disease Detection
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    Chapter 2 Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing
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    Chapter 3 CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources
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    Chapter 4 Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test
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    Chapter 5 Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis
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    Chapter 6 Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia
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    Chapter 7 Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model
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    Chapter 8 Sleep Apnea Diagnosis Using Complexity Features of EEG Signals
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    Chapter 9 Representational Similarity Analysis: A Preliminary Step to fMRI-EEG Data Fusion in MVPAlab
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    Chapter 10 Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning
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    Chapter 11 Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images
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    Chapter 12 Capacity Estimation from Environmental Audio Signals Using Deep Learning
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    Chapter 13 Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO
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    Chapter 14 RDNet: ResNet-18 with Dropout for Blood Cell Classification
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    Chapter 15 Automatic Diagnosis of Myocarditis in Cardiac Magnetic Images Using CycleGAN and Deep PreTrained Models
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    Chapter 16 Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks
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    Chapter 17 Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease
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    Chapter 18 Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease
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    Chapter 19 Monitoring Motor Symptoms in Parkinson’s Disease Under Long Term Acoustic Stimulation
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    Chapter 20 Evaluation of TMS Effects on the Phonation of Parkinson’s Disease Patients
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    Chapter 21 Effects of Neuroacoustic Stimulation on Two Study Cases of Parkinson’s Disease Dysarthria
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    Chapter 22 Characterizing Masseter Surface Electromyography on EEG-Related Frequency Bands in Parkinson’s Disease Neuromotor Dysarthria
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    Chapter 23 Acquisition of Relevant Hand-Wrist Features Using Leap Motion Controller: A Case of Study
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    Chapter 24 A Pilot and Feasibility Study of Virtual Reality as Gamified Monitoring Tool for Neurorehabilitation
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    Chapter 25 Pairing of Visual and Auditory Stimuli: A Study in Musicians on the Multisensory Processing of the Dimensions of Articulation and Coherence
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    Chapter 26 Design of Educational Scenarios with BigFoot Walking Robot: A Cyber-physical System Perspective to Pedagogical Rehabilitation
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    Chapter 27 Feasibility Study of a ML-Based ASD Monitoring System
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    Chapter 28 ApEn: A Stress-Aware Pen for Children with Autism Spectrum Disorder
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    Chapter 29 Anxiety Monitoring in Autistic Disabled People During Voice Recording Sessions
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    Chapter 30 What Can Technology Do for Autistic Spectrum Disorder People?
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    Chapter 31 Autism Spectrum Disorder (ASD): Emotional Intervention Protocol
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    Chapter 32 Creating Vignettes for a Robot-Supported Education Solution for Children with Autism Spectrum Disorder
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    Chapter 33 Identification of Parkinson’s Disease from Speech Using CNNs and Formant Measures
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    Chapter 34 Characterization of Hypokinetic Dysarthria by a CNN Based on Auditory Receptive Fields
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    Chapter 35 Evaluation of the Presence of Subharmonics in the Phonation of Children with Smith Magenis Syndrome
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    Chapter 36 Speech Analysis in Preclinical Identification of Alzheimer’s Disease
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    Chapter 37 The Effect of Breathing Maneuvers on the Interaction Between Pulse Fluctuation and Heart Rate Variability
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    Chapter 38 Horizon Cyber-Vision: A Cybernetic Approach for a Cortical Visual Prosthesis
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    Chapter 39 The Assessment of Activities of Daily Living Skills Using Visual Prosthesis
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    Chapter 40 Artificial Intelligence Applied to Spatial Cognition Assessment
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    Chapter 41 Automatic Diagnosis of Mild Cognitive Impairment Using Siamese Neural Networks
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    Chapter 42 A Comparison of Feature-based Classifiers and Transfer Learning Approaches for Cognitive Impairment Recognition in Language
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    Chapter 43 Detection of Alzheimer’s Disease Using a Four-Channel EEG Montage
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    Chapter 44 Evaluating Imputation Methods for Missing Data in a MCI Dataset
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    Chapter 45 Automatic Scoring of Rey-Osterrieth Complex Figure Test Using Recursive Cortical Networks
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    Chapter 46 Influence of the Level of Immersion in Emotion Recognition Using Virtual Humans
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    Chapter 47 Influence of Neutral Stimuli on Brain Activity Baseline in Emotional Experiments
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    Chapter 48 Classification of Psychophysiological Patterns During Emotional Processing Using SVM
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    Chapter 49 Measuring Motion Sickness Through Racing Simulator Based on Virtual Reality
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    Chapter 50 Analysis of the Asymmetry in RNFL Thickness Using Spectralis OCT Measurements in Healthy and Glaucoma Patients
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    Chapter 51 Performance Evaluation of a Real-Time Phase Estimation Algorithm Applied to Intracortical Signals from Human Visual Cortex
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    Chapter 52 Electrical Stimulation Induced Current Distribution in Peripheral Nerves Varies Significantly with the Extent of Nerve Damage: A Computational Study Utilizing Convolutional Neural Network and Realistic Nerve Models
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    Chapter 53 Statistical and Symbolic Neuroaesthetics Rules Extraction from EEG Signals
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    Chapter 54 Brain Shape Correspondence Analysis Using Variational Mixtures for Gaussian Process Latent Variable Models
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    Chapter 55 Explainable Artificial Intelligence to Detect Breast Cancer: A Qualitative Case-Based Visual Interpretability Approach
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    Chapter 56 Evaluation of a Gaussian Mixture Model for Generating Synthetic ECG Signals During an Angioplasty Procedure
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    Chapter 57 Automatic Left Bundle Branch Block Diagnose Using a 2-D Convolutional Network
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    Chapter 58 QRS-T Angle as a Biomarker for LBBB Strict Diagnose
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    Chapter 59 Variable Embedding Based on L–statistic for Electrocardiographic Signal Analysis
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    Chapter 60 Uniform and Non-uniform Embedding Quality Using Electrocardiographic Signals
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    Chapter 61 Decoding Lower-Limbs Kinematics from EEG Signals While Walking with an Exoskeleton
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    Chapter 62 EEG Signals in Mental Fatigue Detection: A Comparing Study of Machine Learning Technics VS Deep Learning
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    Chapter 63 Application of RESNET and Combined RESNET+LSTM Network for Retina Inspired Emotional Face Recognition System
Attention for Chapter 20: Evaluation of TMS Effects on the Phonation of Parkinson’s Disease Patients
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Chapter title
Evaluation of TMS Effects on the Phonation of Parkinson’s Disease Patients
Chapter number 20
Book title
Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-06242-1_20
Book ISBNs
978-3-03-106241-4, 978-3-03-106242-1
Authors

Gómez-Rodellar, Andrés, Mekyska, Jiri, Gómez-Vilda, Pedro, Brabenec, Lubos, Simko, Patrik, Rektorova, Irena

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Geographical breakdown

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Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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