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: IntroductionChapter 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 withDynamic 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.

• Preface.- Introduction.- Seizure onset detection in EEG signals based on entropy from generalized Gaussian PDF modeling and ensemble bagging classifer.- Arti_cial Neuroplasticity by Deep Learning Reconstruc-tion Signal to Reconnect Motion signal for Spinal Cord.- Improved Massive MIMO Cylindrical Adaptive Anten-na Array.- Multifractal Analysis With Lacunarity for Microcalci_cations Segmentation.- Consolidated Clinical Document Architecture: Analysis and Evaluation to Support the Interoperability of Tunisian Health.- Bayesian compressed sensing for IoT: application to EEG recording.- Patients Strati_cation in Imbalanced Datasets: A Roadmap.- Real-Time Driver Fatigue Monitoring with Dynamic Bayesian Network Model.- Epileptic seizure detection using a Convolutional Neural Network.- Index.

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: IntroductionChapter 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 withDynamic 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.

• Preface.- Introduction.- Seizure onset detection in EEG signals based on entropy from generalized Gaussian PDF modeling and ensemble bagging classifer.- Arti_cial Neuroplasticity by Deep Learning Reconstruc-tion Signal to Reconnect Motion signal for Spinal Cord.- Improved Massive MIMO Cylindrical Adaptive Anten-na Array.- Multifractal Analysis With Lacunarity for Microcalci_cations Segmentation.- Consolidated Clinical Document Architecture: Analysis and Evaluation to Support the Interoperability of Tunisian Health.- Bayesian compressed sensing for IoT: application to EEG recording.- Patients Strati_cation in Imbalanced Datasets: A Roadmap.- Real-Time Driver Fatigue Monitoring with Dynamic Bayesian Network Model.- Epileptic seizure detection using a Convolutional Neural Network.- Index.

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: IntroductionChapter 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 withDynamic 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.

• Preface.- Introduction.- Seizure onset detection in EEG signals based on entropy from generalized Gaussian PDF modeling and ensemble bagging classifer.- Arti_cial Neuroplasticity by Deep Learning Reconstruc-tion Signal to Reconnect Motion signal for Spinal Cord.- Improved Massive MIMO Cylindrical Adaptive Anten-na Array.- Multifractal Analysis With Lacunarity for Microcalci_cations Segmentation.- Consolidated Clinical Document Architecture: Analysis and Evaluation to Support the Interoperability of Tunisian Health.- Bayesian compressed sensing for IoT: application to EEG recording.- Patients Strati_cation in Imbalanced Datasets: A Roadmap.- Real-Time Driver Fatigue Monitoring with Dynamic Bayesian Network Model.- Epileptic seizure detection using a Convolutional Neural Network.- Index.