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Advances in Body Area Networks I

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Table of Contents

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    Book Overview
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    Chapter 1 Characterization and Identification of Driver Distraction During Naturalistic Driving: An Analysis of ECG Dynamics
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    Chapter 2 Wearable Galvanic Skin Response for Characterization and Identification of Distraction During Naturalistic Driving
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    Chapter 3 A Wearable Multi-sensor IoT Network System for Environmental Monitoring
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    Chapter 4 Fabric Sensor Array Monitoring Pressure Distribution
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    Chapter 5 Automatic EEG Blink Detection Using Dynamic Time Warping Score Clustering
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    Chapter 6 Continuous Blood Pressure Estimation Using PPG and ECG Signal
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    Chapter 7 The Prospect and Analysis of Nanogenerator for Wearable Devices
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    Chapter 8 EEG-Based Driver Distraction Detection via Game-Theoretic-Based Channel Selection
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    Chapter 9 EEG Based Driver Inattention Identification via Feature Profiling and Dimensionality Reduction
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    Chapter 10 Context-Aware Sensor Solution for Remote Monitoring of Adolescent Idiopathic Scoliosis Brace Treatment
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    Chapter 11 Gait Analysis for Physical Rehabilitation via Body-Worn Sensors and Multi-information Fusion
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    Chapter 12 An Embedded Risk Prediction System for Wheelchair Safety Driving
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    Chapter 13 A Wearable, Low-Power, Real-Time ECG Monitor for Smart T-shirt and IoT Healthcare Applications
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    Chapter 14 JMMM: A Mobility Model for WBANs Based on Human Joint Movements
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    Chapter 15 A Noninvasive Continuous Fetal Heart Rate Monitoring System for Mobile Healthcare Based on Fetal Phonocardiography
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    Chapter 16 Medical Quality of Service Optimization over Joint Body Sensor Networks and Internet of Multimedia Things
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    Chapter 17 An Encryption Method for BAN Using the Channel Characteristics
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    Chapter 18 Experimental Performance Evaluation of BLE 4 Versus BLE 5 in Indoors and Outdoors Scenarios
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    Chapter 19 Electrode Impedance Modeling for Channel Characterization for Intra-body Communication
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    Chapter 20 Analysis and Estimation of Intra-body Communications Path Loss for Galvanic Coupling
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    Chapter 21 An Improved Mathematical Model for the Autonomic Regulation of Cardiovascular System
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    Chapter 22 Design of Fall Test System Based on Arduino 101
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    Chapter 23 Data Reliability-Aware and Cloud-Assisted Software Infrastructure for Body Area Networks
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    Chapter 24 Genetic-Algorithm-Based Feature-Selection Technique for Fall Detection Using Multi-placement Wearable Sensors
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    Chapter 25 Link-Level Performance of FM-UWB in the Interfered IEEE 802.15.6 Channel
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    Chapter 26 Impedance Characteristics of the Skin-Electrode Interface of Dry Textile Electrodes for Wearable Electrocardiogram
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    Chapter 27 Compact Antipodal Vivaldi Antennas for Body Area Communication
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    Chapter 28 Study of a Dipole Antenna in the Vicinity of Lossless and Lossy Medium for On-body Antenna Analysis
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    Chapter 29 Estimating Eavesdropping Risk for Next Generation Implants
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    Chapter 30 A Study of Implant Antenna for FSK-Based Impulse Radio System in Human Body Communication Band
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    Chapter 31 Motion-Based Gait Identification Using Spectro-temporal Transform and Convolutional Neural Networks
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    Chapter 32 Voluntary EMG-to-Force Estimation in Shoulder and Elbow During the Movement of Feeding Oneself
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    Chapter 33 Muscle Synergistic Pattern and Kinematic Sensor Data Analysis During Upper-Limb Reaching in Stroke Patients
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    Chapter 34 Inertial Sensor Based Human Activity Recognition via Reduced Kernel PCA
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    Chapter 35 Design Practice of Visual Art Forms Based on Targeted Selection of Microcosmic Appearance
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    Chapter 36 Practice Research on Chaos-Theory-Based Algorithmic Composition
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Advances in Body Area Networks I
Published by
Springer International Publishing, December 2018
DOI 10.1007/978-3-030-02819-0
978-3-03-002818-3, 978-3-03-002819-0

Fortino, Giancarlo, Wang, Zhelong

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 34%
Student > Master 6 19%
Researcher 3 9%
Student > Bachelor 2 6%
Professor 1 3%
Other 2 6%
Unknown 7 22%
Readers by discipline Count As %
Engineering 11 34%
Computer Science 7 22%
Neuroscience 2 6%
Psychology 1 3%
Medicine and Dentistry 1 3%
Other 2 6%
Unknown 8 25%