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Quantifying and Processing Biomedical and Behavioral Signals

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Cover of 'Quantifying and Processing Biomedical and Behavioral Signals'

Table of Contents

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    Book Overview
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    Chapter 1 A Human-Centered Behavioral Informatics
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    Chapter 2 Wearable Devices for Self-enhancement and Improvement of Plasticity: Effects on Neurocognitive Efficiency
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    Chapter 3 Age and Culture Effects on the Ability to Decode Affect Bursts
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    Chapter 4 Adults’ Implicit Reactions to Typical and Atypical Infant Cues
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    Chapter 5 Adults’ Reactions to Infant Cry and Laugh: A Multilevel Study
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    Chapter 6 Olfactory and Haptic Crossmodal Perception in a Visual Recognition Task
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    Chapter 7 Handwriting and Drawing Features for Detecting Negative Moods
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    Chapter 8 Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis
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    Chapter 9 Oressinergic System: Network Between Sympathetic System and Exercise
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    Chapter 10 Experimental Analysis of in-Air Trajectories at Long Distances in Online Handwriting
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    Chapter 11 Multi-sensor Database for Cervical Area: Inertial, EEG and Thermography Data
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    Chapter 12 Consciousness and the Archipelago of Functional Integration: On the Relation Between the Midbrain and the Ascending Reticular Activating System
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    Chapter 13 Does Neuroeconomics Really Need the Brain?
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    Chapter 14 Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals
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    Chapter 15 Evolution Characterization of Alzheimer’s Disease Using eLORETA’s Three-Dimensional Distribution of the Current Density and Small-World Network
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    Chapter 16 Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization
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    Chapter 17 Blood Vessel Segmentation in Retinal Fundus Images Using Hypercube NeuroEvolution of Augmenting Topologies (HyperNEAT)
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    Chapter 18 An End-To-End Unsupervised Approach Employing Convolutional Neural Network Autoencoders for Human Fall Detection
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    Chapter 19 Bot or Not? A Case Study on Bot Recognition from Web Session Logs
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    Chapter 20 A Neural Network to Identify Driving Habits and Compute Car-Sharing Users’ Reputation
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    Chapter 21 Unsupervised Gene Identification in Colorectal Cancer
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    Chapter 22 Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis
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    Chapter 23 Supervised Gene Identification in Colorectal Cancer
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    Chapter 24 Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition
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    Chapter 25 A Novel Deep Learning Approach in Haematology for Classification of Leucocytes
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Title
Quantifying and Processing Biomedical and Behavioral Signals
Published by
Springer International Publishing, September 2018
DOI 10.1007/978-3-319-95095-2
ISBNs
978-3-31-995094-5, 978-3-31-995095-2
Editors

Esposito, Anna, Faundez-Zanuy, Marcos, Morabito, Francesco Carlo, Pasero, Eros

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 25%
Student > Ph. D. Student 3 19%
Student > Master 3 19%
Lecturer 2 13%
Other 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Psychology 4 25%
Computer Science 4 25%
Philosophy 1 6%
Nursing and Health Professions 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 4 25%