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

Author:   Lotfi Chaari
Publisher:   Springer Nature Switzerland AG
Edition:   2019 ed.
Volume:   10
ISBN:  

9783030117993


Pages:   88
Publication Date:   11 July 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine


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Author:   Lotfi Chaari
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2019 ed.
Volume:   10
Weight:   0.454kg
ISBN:  

9783030117993


ISBN 10:   3030117995
Pages:   88
Publication Date:   11 July 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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.

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