Advertisement

© 2019

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

  • Lotfi Chaari

Benefits

  • 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

Conference proceedings

Part of the Advances in Predictive, Preventive and Personalised Medicine book series (APPPM, volume 10)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Ricardo Jaramillo Díaz, Laura Veronica Jaramillo Marin, María Alejandra Barahona García
    Pages 11-20
  3. Mouloud Kamali, Adnen Cherif
    Pages 21-31
  4. Ines Slim, Hanen Bettaieb, Asma Ben Abdallah, Imen Bhouri, Mohamed Hedi Bedoui
    Pages 33-41
  5. Dhafer Ben Ali, Itebeddine Ghorbel, Nebras Gharbi, Kais Belhaj Hmida, Faiez Gargouri, Lotfi Chaari
    Pages 43-52
  6. Itebeddine Ghorbel, Walma Gharbi, Lotfi Chaari, Amel Benazza
    Pages 53-60
  7. Chiheb Karray, Nebras Gharbi, Mohamed Jmaiel
    Pages 61-67
  8. Issam Bani, Belhassan Akrout, Walid Mahdi
    Pages 69-77
  9. Bassem Bouaziz, Lotfi Chaari, Hadj Batatia, Antonio Quintero-Rincón
    Pages 79-86
  10. Back Matter
    Pages 87-88

About these proceedings

Introduction

This collection, entitled « Digital Health for Predictive, Preventive, Personalized and Participatory Medicine» contains the proceedings of the first International conference on digital health technologies (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.

Keywords

Digital Health P4 medicine Artificial intelligence signal and image processing Mobile Health

Editors and affiliations

  • Lotfi Chaari
    • 1
  1. 1.MIRACL LaboratoryUniversity of SfaxSfaxTunisia

About the editors

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.


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 Abbreviated Title Advances in Predictive, Preventive
  • DOI https://doi.org/10.1007/978-3-030-11800-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Medicine Medicine (R0)
  • Hardcover ISBN 978-3-030-11799-3
  • eBook ISBN 978-3-030-11800-6
  • Series ISSN 2211-3495
  • Series E-ISSN 2211-3509
  • Edition Number 1
  • Number of Pages XVI, 88
  • Number of Illustrations 12 b/w illustrations, 23 illustrations in colour
  • Topics Health Informatics
    Biomedicine, general
  • Buy this book on publisher's site
Industry Sectors
Pharma
Health & Hospitals
Biotechnology
IT & Software
Law