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Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine

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Cover of 'Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine'

Table of Contents

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    Book Overview
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    Chapter 1 Internet of Medical Things (IoMT) Applications in E-Health Systems Context
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    Chapter 2 Artificial Intelligent and Machine Learning Methods in Bioinformatics and Medical Informatics
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    Chapter 3 Human Facial Age Estimation: Handcrafted Features Versus Deep Features
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    Chapter 4 Multi-scale Multi-block Covariance Descriptor for a Compact Face Texture Representation: Application to Kinship Verification
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    Chapter 5 Continuous Wavelet Analysis and Extraction of ECG Features
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    Chapter 6 e-Health Education Using Automatic Question Generation-Based Natural Language (Case Study: Respiratory Tract Infection)
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    Chapter 7 A Novel Machine Learning Model for Adaptive Tracking and Real-Time Forecasting COVID-19 Dynamic Propagation
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    Chapter 8 Heart Failure Occurrence: Mining Significant Patterns and 10 Days Early Prediction
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    Chapter 9 The Efficiency of the Reverse Engineering to Fabricate a New Respirator Technology Compatible with the COVID-19 Pandemic
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    Chapter 10 Exploiting Egocentric Cues for Action Recognition for Ambient Assisted Living Applications
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    Chapter 11 Pulmonary Fibrosis Progression Prediction Using Image Processing and Machine Learning
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    Chapter 12 A Simulation-Based Method to Study the LQT1 Syndrome Remotely Using the EMI Model
Attention for Chapter 12: A Simulation-Based Method to Study the LQT1 Syndrome Remotely Using the EMI Model
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Chapter title
A Simulation-Based Method to Study the LQT1 Syndrome Remotely Using the EMI Model
Chapter number 12
Book title
Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine
Published by
Springer, Cham, August 2021
DOI 10.1007/978-3-030-14647-4_12
Book ISBNs
978-3-03-014646-7, 978-3-03-014647-4
Authors

Domínguez, Sebastián, Reimer, Joyce, Green, Kevin R., Zolfaghari, Reza, Spiteri, Raymond J.

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