Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine / Advances in Predictive, Preventive and Personalised Medicine Bd.10 (PDF)
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In addition, the use of AI for epileptic seizure detection isalso 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.
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.
- 2019, 1st ed. 2019, 88 Seiten, Englisch
- Herausgegeben: Lotfi Chaari
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030118002
- ISBN-13: 9783030118006
- Erscheinungsdatum: 10.07.2019
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