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Advances in Predictive, Preventive and Personalised Medicine

Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine

Editors: Chaari, Lotfi (Ed.)

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  • This chapter presents recents advances in digital health technologies
  • Promising applications using Internet of Things (IoT) for health are presented
  • How Artificial Intelligence (AI) can bring innovation in digital healthcare
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eBook £127.50
price for United Kingdom (gross)
  • Due: August 19, 2019
  • ISBN 978-3-030-11800-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
Hardcover £159.99
price for United Kingdom (gross)
  • ISBN 978-3-030-11799-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This collection, entitled Digital Health for Predictive, Preventive, Personalized and Participatory Medicine contains the proceedings of the first International conference on digital healthtechnologies (ICDHT 2018). Ten recent contributions in the fields of Artificial Intelligence (AI) and machine learning, Internet of Things (IoT) and data analysis, all applied to digital health. This collection enables researchers to learn about recent advances in the above mentioned fields. It brings a technological viewpoint of P4 medicine. Readers will discover how advanced Information Technology (IT) tools can be used for healthcare. For instance, the use of connected objects to monitor physiological parameters is discussed. Moreover, even if compressed sensing is nowadays a common acquisition technique, its use for IoT is presented in this collection through one of the pioneer works in the field.

In addition, the use of AI for epileptic seizure detection is also discussed as being one of the major concerns of predictive medicine both in industrialized and low-income countries.

This work is edited by Prof. Lotfi Chaari, professor at the University of Sfax, and previously at the University of Toulouse. This work comes after more than ten years of expertise in the biomedical signal and image processing field.

 





About the authors

Prof. Lotfi Chaari, professor at the University of Sfax, and previously at the University of Toulouse. This work comes after more than ten years of expertise in the medical biomedical signal and image processing field.

Chapter 1: L. Chaari: Introduction

Chapter 2: J. Diaz. Ricardo, J. M. L. Veronica and B. M. Alejandra: Artificial Neuroplasticity by Deep Learning Reconstruc-tion Signal to Reconnect Motion signal for Spinal Cord.

Chapter 3: M. Kamali and A. Cherif: Improved Massive MIMO Cylindrical Adaptive Antenna Array.

Chapter 4: I. Slim, H. Bettaieb, A. Ben Abdallah, I Bhouri and M. H. Bedoui: Multifractal analysis with lacunarity for microcalcifications segmentation.

Chapter 5: D. Ben Ali, I. Ghorbel, N. Gharbi, K. Belhaj Hmida and F. Gargouri: Consolidated Clinical Document Architecture: Analysis and Evaluation to Support the Interoperability of Tunisian Health Systems.

Chapter 6: I. Ghorbel, W. Gharbi, L. Chaari and A. Benazza: Bayesian compressed sensing for IoT: application to EEG recording.

Chapter 7: C. Karray, N. Gharbi and M. Jmaiel: Patients Stratification in Imbalanced Datasets: A Roadmap.

Chapter 8: I. Bani, B. Akrout and W. Mahdi: Real-Time Driver Fatigue Monitoring with

Dynamic Bayesian Network Model.

Chapter 9: B. Bouaziz, L. Chaari, H. Batatia and A. Quintero-Rincon: Epileptic seizure detection using a Convolutional Neural Network.

Chapter 10: A. Quintero-Rincon, C. D’Giano and H. Batatia: Seizure onset detection in EEG signals based on entropy from generalized Gaussian PDF modeling and ensemble bagging classifier.


Table of contents (9 chapters)

Table of contents (9 chapters)
  • Seizure Onset Detection in EEG Signals Based on Entropy from Generalized Gaussian PDF Modeling and Ensemble Bagging Classifier

    Pages 1-10

    Quintero-Rincón, Antonio (et al.)

  • Artificial Neuroplasticity with Deep Learning Reconstruction Signals to Reconnect Motion Signals for the Spinal Cord

    Pages 11-20

    Díaz, Ricardo Jaramillo (et al.)

  • Improved Massive MIMO Cylindrical Adaptive Antenna Array

    Pages 21-31

    Kamali, Mouloud (et al.)

  • Mulitifractal Analysis with Lacunarity for Microcalcification Segmentation

    Pages 33-41

    Slim, Ines (et al.)

  • Consolidated Clinical Document Architecture: Analysis and Evaluation to Support the Interoperability of Tunisian Health Systems

    Pages 43-52

    Ali, Dhafer Ben (et al.)

Buy this book

eBook £127.50
price for United Kingdom (gross)
  • Due: August 19, 2019
  • ISBN 978-3-030-11800-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
Hardcover £159.99
price for United Kingdom (gross)
  • ISBN 978-3-030-11799-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine
Editors
  • Lotfi Chaari
Series Title
Advances in Predictive, Preventive and Personalised Medicine
Series Volume
10
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-11800-6
DOI
10.1007/978-3-030-11800-6
Hardcover ISBN
978-3-030-11799-3
Series ISSN
2211-3495
Edition Number
1
Number of Pages
XVI, 88
Number of Illustrations
12 b/w illustrations, 23 illustrations in colour
Topics