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Body Area Networks: Smart IoT and Big Data for Intelligent Health Management

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Cover of 'Body Area Networks: Smart IoT and Big Data for Intelligent Health Management'

Table of Contents

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    Book Overview
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    Chapter 1 A Portable Continuous Wave Radar System to Detect Elderly Fall
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    Chapter 2 A Piezoelectric Heart Sound Sensor for Wearable Healthcare Monitoring Devices
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    Chapter 3 Vertical Hand Position Estimation with Wearable Differential Barometery Supported by RFID Synchronization
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    Chapter 4 The Smart Insole: A Pilot Study of Fall Detection
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    Chapter 5 Arrhythmia Detection with Antidictionary Coding and Its Application on Mobile Platforms
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    Chapter 6 Characterisation of Breathing and Physical Activity Patterns in the General Population Using the Wearable Respeck Monitor
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    Chapter 7 Medical Tele-Monitoring and Tele-Assistance for Diabetics Patients by Means of 5G Cellular Networks
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    Chapter 8 Group Walking Recognition Based on Smartphone Sensors
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    Chapter 9 Towards Body Sensor Network Based Gait Abnormality Evaluation for Stroke Survivors
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    Chapter 10 Motion Recognition for Smart Sports Based on Wearable Inertial Sensors
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    Chapter 11 Pulse Wave Characteristics Based on Age and Body Mass Index (BMI) During Sitting Posture
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    Chapter 12 A Novel Galvanic Coupling Testbed Based on PC Sound Card for Intra-body Communication Links
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    Chapter 13 Sensitivity of Galvanic Intra-Body Communication Channel to System Parameters
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    Chapter 14 Magnetic Steering of Superparamagnetic Nanoparticles in Duct Flow for Molecular Communication: A Feasibility Study
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    Chapter 15 Fat in the Abdomen Area as a Propagation Medium in WBAN Applications
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    Chapter 16 Optical Wireless Data Transfer Through Biotissues: Practical Evidence and Initial Results
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    Chapter 17 Estimation of Skin Conductance Response Through Adaptive Filtering
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    Chapter 18 Capacitive Body-Coupled Communication in the 400–500 MHz Frequency Band
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    Chapter 19 SmartBAN Performance Evaluation for Diverse Applications
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    Chapter 20 Cybersecurity Assessment of the Polar Bluetooth Low Energy Heart-Rate Sensor
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    Chapter 21 User’s Authentication Using Information Collected by Smart-Shoes
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    Chapter 22 Social Inclusion for Children with Disabilities: The Role of ICT in Play and Entertainment Activities
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    Chapter 23 Digital Resources Aiding Opportunities for Affiliation and Practical Reasoning Among People with Dementia: A Scoping Review
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    Chapter 24 The Relationship Between Diagnosed Burnout and Sleep Measured by Activity Trackers: Four Longitudinal Case Studies
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    Chapter 25 Using Distributed Wearable Inertial Sensors to Measure and Evaluate the Motions of Children with Cerebral Palsy in Hippotherapy
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    Chapter 26 Channel Gain for a Wrist-to-Arm Scenario in the 55–65 GHz Frequency Band
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    Chapter 27 WBAN Radio Channel Characteristics Between the Endoscope Capsule and on-Body Antenna
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    Chapter 28 Analysis of Channel Characteristic for Body Channel Communication Transceiver Design
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    Chapter 29 MAC Protocol with Interference Mitigation Using Negotiation Among Coordinators in Multiple Wireless Body Area Networks
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    Chapter 30 Pseudo-dynamic UWB WBAN Off-Body Radio Channel Measurements – Preliminary Results
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Title
Body Area Networks: Smart IoT and Big Data for Intelligent Health Management
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-34833-5
ISBNs
978-3-03-034832-8, 978-3-03-034833-5
Editors

Mucchi, Lorenzo, Hämäläinen, Matti, Jayousi, Sara, Morosi, Simone

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The data shown below were collected from the profile of 1 X user 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 29%
Student > Ph. D. Student 1 14%
Other 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Engineering 3 43%
Computer Science 2 29%
Unknown 2 29%